Business Data Architect Resume Sample
Raphaelle Russel
972 Amelia Groves,
Chicago,
IL
+1 (555) 263 5237
Work Experience
Senior Business Intelligence Data Architect
10/2015
-
PRESENT
San Francisco, CA
- Work in collaboration with data scientist, data governance team, ETL development and IT data warehouse teams to support on design and build of analytical solutions
- Document the Business’ data requirements, including data sources, data quantity, data frequency, data quality, business rules for data transformation, data access requirements, number of users accessing data, role based access, etc
- Creation of conceptual, logical and (to a lesser extent) physical data models as well as process and data lineage diagrams
- Source data analysis / profiling where necessary to support ETL design
- Ensure that documentation is created, meets standards, and is properly maintained according to established standards and procedures, to facilitate design, production support and maintenance by IT
- Design and lead solution tests based on knowledge of systems architecture, systems interdependencies and interactions
- Identifies, manages, and tracks business and technical needs objectives throughout the project’s lifecycle
- Hands-on experience in ETL (Talend) and SAP BI/Business Objects disciplines
- Configuration SDLC Process and Timeline
Business Data Architect
07/2013
-
07/2015
New York, NY
- Configuration Architectural Framework
- UPP Configuration Governance
- Integrated Data Design
- Develops and implements the comprehensive division data strategies; including data modeling, implementation and data management
- Provides technical leadership in the development and support of technological application infrastructure and related data warehouses
- Provides leadership and expertise in the development of standards, architectural governance, design patterns, and practices
- Leads efforts in the design, development, and implementation stages of the system development life-cycle including analysis, design, coding, documentation, testing, implementation, and training
Business Solutions & Data Architect
10/2007
-
01/2013
Boston, MA
- Leads discussions with Business Analysts and/or other members of technical teams during requirements gathering and provide guidance on writing highly complex technical specifications
- Provides subject matter expertise on workability of designs, architecture, and testing. Researches and recommends solutions to client requirements. Builds consensus around solutions where possible and provides direction when needed
- Leads collaboration with cross-functional teams and contributes to group outcomes. Assumes responsibility for individual and team assignments and software development projects
- Acts as mentor to team members to accomplish development tasks
- Writes well-commented code and adheres to naming conventions. Reviews code against established standards and ensure team and own compliance
- Supports and reviews production applications and databases to ensure the stability of applications and appropriate access to data in the production environment
- Troubleshoots a wide variety of complex problems and identifies solutions within broad applications and functional expertise
Education
Southern Adventist University
2002 - 2006
Bachelor's Degree in Business
Professional Skills
- Exceptional interpersonal and communication skills; strong writing and presentation skills
- Excellent analytical, statistics and problem solving skills
- Demonstrated experience designing, building, and maintaining data warehouses and end-to-end reporting solutions
- Prior experience working with Financial and Operational data
- Significant proven implementation experience on a wider range of projects with large scope in terms of technological and geographical span
- Experience in planning, team building and delivering on large system and data migration projects
- Significant experience in designing/ implementing master data management solutions
How to write Business Data Architect Resume
Business Data Architect role is responsible for modeling, integration, finance, training, database, security, architecture, analysis, reporting, design.
To write great resume for business data architect job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Business Data Architect Resume
The section contact information is important in your business data architect resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Business Data Architect Resume
The section work experience is an essential part of your business data architect resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous business data architect responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular business data architect position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Business Data Architect resume experience can include:
- Excellent communications and data visualization and representation skills
- Advanced Excel skills including pivot table building and analysis; macro design/implementation and PowerPivot
- Thrives in a multitasking environment; appropriately sets priorities, and can successfully navigate the complexities of a corporate environment
- Generally requires 6-9 years of related experience in OSS and BSS application analysis, process analysis, data modeling or data architecture
- Experience in the data industry with 5+ years towards delivering Data Management initiatives at large multi-business unit organizations
- Hands-on experience with various data modeling techniques and tools
Education on a Business Data Architect Resume
Make sure to make education a priority on your business data architect resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your business data architect experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Business Data Architect Resume
When listing skills on your business data architect resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical business data architect skills:
- Modeling & DAX experience in either PowerPivot, Power BI or SSAS Tabular
- Experienced in gathering requirements and developing data warehouse solutions for Business Intelligence
- Excellent understanding of business and sales processing tools, systems and practices
- Proven track record driving alignment at different levels of the organization including senior leadership
- Provides BI technical and architectural guidance to projects and teams, ensuring that new initiatives enable effective data reporting
- Experience with advanced data profiling tools and metadata management tools such as Collibra or Alation
List of Typical Experience For a Business Data Architect Resume
1
Experience For Business Intelligence Data Architect Resume
- Champions data quality, integrity and reliability throughout the company by designing and promoting best practices
- Develops analytical models, dashboards and reporting solutions applying different techniques and best practices
- Trains business owners and promote the value of using data and advanced analytics to drive decision-making
- Provides best-in-class data visualization that communicates critical insights which drive decision-making
- Evaluate current and future state OSS and BSS processes, data and systems and documenting detailed migration strategies
- Perform process and data mapping between current and future state systems and define business rules for transformation
- Implements principles, policies, standards and guidelines for data governance and management
- Document and recommend migration plans from current to future state OSS/BSS applications
- Understand managed networks and configurations along with associated master data required to manage the network solutions from a sales, service delivery , service assurance and network management standpoint
2
Experience For Business Solutions & Data Architect Resume
- Designs new methods and best practices for analysis and presentation of comparative data
- Vets recommendations to determine viable options and cost-benefit assessment to management
- Performs in depth research on root cause and mitigation plan for data and system differences that are uncovered through normal course of analysis and migration
- Defines business and functional requirements for BSS and OSS applications that , enable sales, delivery and support of managed services products
- Identify product model optimization opportunities and efficiency improvements
- Assist with scope definition for data cleanup, transformation and migration
- Oversight of project from inception through deployment
- Collaborates with Product Delivery team to define strategy and product roadmap
3
Experience For Senior Business Intelligence Data Architect Resume
- Develops scalable processes solutions to support and benefit the Company's architecture vision
- Establishment and end to end design of Eaton’s data mart strategy for refreshing data into analytic work-spaces including “subject area” build out capabilities, as well as mart deployment strategy
- Recommend, set up, integrate and utilize Big Data, NoSQL, Integration, Database tools and frameworks as required for business and data science needs
- Work in collaboration with data governance team, data intelligence team and data SME’s to support documentation of analytical solutions
- Document the business side of data governance including such areas as data sources, data frequency, data quality, business rules for data transformation, data access requirements, data metrics, etc
4
Experience For Senior Manager Business Intelligence Data Architect Resume
- Work closely with business SME’s to collect data knowledge and incorporate it into reusable documents to be shared across the users
- Creation of conceptual and logical and data models as well as process and data lineage diagrams
- Creation and support of Business Data Dictionary / Data Glossary information in various forms
- Possibility to gain knowledge in automation and robotics
- Establish the scope, and framework for the newly forming enterprise data governance in collaboration with the Enterprise Data Architect and Data Governance leadership
5
Experience For Solution Architect Business Intelligence & Big Data Resume
- Define the principles, policies, and standards for master data within the enterprise
- Responsible for championing the data governance program and promoting communication across the organization so management is aware of the importance of data and its value
- Provide centralized coordination for all data governance processes from definition through execution and drive continuous improvement
- Provide expertise in innovations, development, application, and maturity of third party consumer, retail, and real estate related data sources
- Continually research and identify new or better sources of external data for application with the BI&S platform; collaborate with the business team to identify use cases and manage pilot programs to evaluate effectiveness
- Advise in BI&S analytic model development
6
Experience For Business Data Architect Technology Director Resume
- Prior experience with innovation process, including designing/managing/executing custom methodologies and enterprise data models to address key business questions
- Facilitate use case & requirements definition, design, testing, and implementation of new data assets and analytic capabilities that address specific business needs
- Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and administer firm-wide principles, standards, and controls
- Create conceptual & logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects
- Develop strategic roadmaps for the customer data domain that describe a sequence of projects to improve management and utility of the data for the business
7
Experience For Data & Business Intelligence Solution Architect Resume
- Identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms
- Profile, wrangle, and prepare data from diverse sources to support analytical efforts
- Write data transformation logic in languages such as Python, SAS, Spark, or Scala
- Conduct business process analysis and identify data needed to support the processes and determine whether the firm’s data is fit for use within a given process
- Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm
- Proven ability to meet development commitments and manage expectations
- Proven problem solver, with ability to debug complex processes and applications
- Work in a fast-paced, deadline driven environment running multiple projects simultaneously
- Create database objects
List of Typical Skills For a Business Data Architect Resume
1
Skills For Business Intelligence Data Architect Resume
- Experience with data analysis, data modeling, and data mining toolsets
- Solid understanding of data pipelines, data ingestion, and data delivery into a data warehouse
- Excellent in understanding how to churn the data from SFDC into meaningful insights for business to make decisions
- Excellent understanding of business and sales processes and practices
- Data Warehouse - Experience in data warehouse design and development
- Establish data standards and adoption goals as well as measure and ensure the effectiveness of enterprise data efforts
- Creating, reviewing and tuning SQL scripting
2
Skills For Business Solutions & Data Architect Resume
- Designing database queries, views, procedures, and functions for reporting and data analytics using MS SQL Server
- Working knowledge of Business Intelligence tools and Master Data management concepts
- Understanding of Hadoop-related technologies & their applications
- Creating technical specifications and architectural designs for Microsoft Tabular Models
- Responsible for understanding, translating, and capturing business data requirements
- Support the business with clear and insightful analysis applying advanced modeling techniques leveraging the data at hand
- Conduct data mining / analytics to provide insights across global workstreams for the purposes of identifying cost savings and growing the business
- Provide real time automated analytics on reporting/dashboards and linking it to the PowerBI
3
Skills For Senior Business Intelligence Data Architect Resume
- Comfortable working with all core system data sources including SFDC, EDW, Yotta, Amplify, Storefront remote, IB.next, etc
- Define and implement a roadmap to drive data quality and data management maturity by deploying enterprise-wide data quality services and methodologies
- Continuously enhance and implement business tools, reporting and analytics so global workstreams can drive improved data accuracy and growth
- Basic understanding of Data Governance and Data Stewardship concepts
- Successful at bridging the gap between the Business and IT to deliver successful programs
- Very comfortable in using Excel macro function
- Adapt to change and to detect and respond to evolving business needs
- In-depth knowledge of consumer and wholesale banking data
- Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle)
4
Skills For Senior Manager Business Intelligence Data Architect Resume
- Working with multiple DBMS (SQL Server, Oracle, DB2, Teradata, etc.)
- Erwin Data Modeling Software
- Develop and maintain Tabular Models and Multidimensional SSAS employing Version Control with Visual Studio Team Services
- Develop and maintain Excel/VBA reporting solutions in conjunction with Tabular Models
- Serve as Sr. Business Intelligence and Reporting Solutions Developer responsible for Project and Enhancement Development
- Architectural design and integration of unstructured and semi-structured platforms with Eaton’s existing architecture
- Masters in information systems, computer science or related field required
5
Skills For Solution Architect Business Intelligence & Big Data Resume
- Architect Business Information Models to capture data and business rule requirements to guide technical solutions
- Provide thought leadership role in the areas of advanced data techniques, including data quality, data modeling, data access, data integration, data visualization, data discovery, database design and implementation
- Experience with Microsoft Integration and Analysis Services (SSAS,SSIS)
- Experienced in Spark, Hive, Pig or other MapReduce frameworks
- Experienced with EMR, Glue, Redshift Spectrum, Athena or other AWS big data platforms
- Seven years of experience as a Data Architect or Data Modeler
- Experience with business data governance such as data dictionaries
6
Skills For Business Data Architect Technology Director Resume
- Strong in teamwork and collaboration
- Extensive experience in business process, data analysis, and OSS/BSS systems
- Think both strategically and tactically to solve problems with good attention to detail
- Oversee execution of the divisional data architecture roadmap
- Partner with various business and technology leaders on data related initiatives
- Collaborate with technology partners to evaluate and gain consensus on technical solutions
- Define and enforce architecture principles, standards, and metrics
- Serves as an enterprise-minded Flowserve 2.0 Transformer
7
Skills For Data & Business Intelligence Solution Architect Resume
- O Leads by example and role-models Flowserve’s values of People, Integrity, Ownership, Safety, Innovation and Excellence
- O Collaborates with Workstream Leaders from the Commercial, Growth, Product Rationalization, Aftermarket, Operations, Supply Chain, Health and G&A workstreams to ensure
- Develop a centralized data dictionary that captures the following data information: meaning, relationships to other data, origin, usage and format
- Support and continuously evolve established reporting requirements for the Transformation Office and global workstreams
- Collaborate with BA, business owner and IT teams to understand, translate and capture the requirements for conceptual and logical data models, interface, data sourcing and warehousing
- Develop and refine business analytics based on historical data
- Collaborate with various departments, architects, project managers and technical managers to provide estimates, develop overall implementation solution plan and serve as a lead, when required, to implement solutions
8
Skills For MDM / Business Layer Data Architect Resume
- Expertise in the fields of data quality, data profiling, data security, Master Data concepts, and data migration
- Experience with data analyses/ design and solution architecture for data integration, databases, and data mining concepts for data analytics and visualizations, and creating and developing ETL processes
- Knowledge of SQL databases and statistical software packages such as Dell-Statistica, SPSS, R or SAS is desirable
- Advanced knowledge of Microsoft SQL Server and SQL Server Data Tools
- Proven track record of successful initiatives to standardize information, improve data accessibility and quality, and deliver business value through effective data management
- Strong working knowledge of Big Data, Relational & Dimensional modeling, ETL tools (e.g., Informatica), ODS concepts, Data Governance and Data Quality tools (e.g., Collibra)
- Strong knowledge of Data Quality and Data Management practices
- Experience as a key participant on data infrastructure related efforts
9
Skills For Data Warehousing & Business Intelligence Data Architect Resume
- Clearly and concisely communicate complex technical concepts to both technical and non-technical audiences
- Deep technical knowledge of data infrastructure practices and tools
- Knowledge of version control tools and processes (e.g. Subversion, Git)
- A Certified Business Intelligence Professional (CBIP)
- Knowledge of Oracle PL/SQL
- Oracle data dictionary views
- Knowledge of Kimball data warehouse design principals
- Recommend, design and maintain Dashboard solution and Mobile analytics platform
- Serve as Sr. Business Intelligence Developer and executing opportunities for experimental discovery regarding data analytics and business intelligence; driving new insights from data, prototyping of new tools, and collaboration with business partners on emerging ideas
10
Skills For Business Data Architect Resume
- Provide input for Data Architect & Strategist responsible for leading the development and implementation of a data strategy and roadmap supporting top business analytics priorities
- Establishing and fostering relationships with internal customers working within the area of manufacturing. Focused on building relationships to result in shared success and long-term business value
- Together with the sales lead, interfaces with Geos/countries to align on priorities and goals
- Lead our data analytics workstream
- Present insights and recommended actions on a per geo basis based on the analytics from various data sources
- Develops RAD models for Blade/Synergy in conjunction with geo leads
- Key stakeholders: CMI analytics, geo finance leads, Sales strategy and operations team
- Ensures that logical and physical data models representing enterprise data is structured for consumption by the business for ease of decision-making and other analytical operations
- Partners with IT and business functions to deliver the overall BI data management and architecture including ETL processes, operational data stores, data marts, and possibly a data warehouse
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