Data Architect, Big Data Resume Sample
Work Experience
- Architecting, designing, and conceptually, logically, and physically modeling data that exists in sourcing systems, data lakes, data warehouses, and data marts supporting the Big Data Hadoop ecosystem
- Translate business and data requirements into data models in support of Enterprise Data Models, Data Warehouse and Analytical systems
- Develop conceptual subject area data models and data flow diagrams
- Develop and maintain metadata definitions for sourcing data stores and all evolutions of the Data Lake from ingested sources to consumers
- Communicate, present, and apply data modeling best practices to support application performance, application storage efficiency, and system extensibility
- Facilitate data requirements meetings with stakeholders to drive modeling solutions
- Work closely with software engineering and technical teams to ensure successful rollout of the solution
- Expert knowledge and understanding of digital trends and challenges across industries
- Proven experience in providing technical leadership on complex, managing mixed technical teams to deliver the work
- Demonstrable track record of shaping and leading successful business development of digital and other front office business transformation initiatives
- Develop and maintain application architecture patterns, standards, policies, and procedures and ensure it is consistently implemented
- Advise e-Commerce IT senior level managers and executives on technology direction and roadmap
- Understand interrelationships and the impact of systems and applications upon the enterprise wide technical environment
- Oversee the development of conceptual, logical hardware or software designs
- Participate in full SDLC (agile), including iterative development, estimations, and design sessions
- Guide implementation of best practices for application design, including tools, and methodologies
- Design for high performance and scalability in order to ensure that the application is highly scalable and can support high volumes of traffic
- Help diagnose and resolve escalated production performance and stability issues
- Work directly with customer’s technical resources to devise and recommend solutions based on the understood requirements
- Document and present complex architectures for the customer’s technical teams
- Development of data flows and templates, often working with the customer’s developers to help them learn how to use Kylo
- Work closely with Think Big’ teams at all levels to help ensure the success of project consulting engagements with customer
- Participate in the pre-and post- sales process, helping both the sales and product teams to interpret customers’ requirements
- Work with Business Stakeholders and Project Managers to understand inefficiencies in clients’ existing business processes and applications and recommend solutions
- Proven ability to correctly estimate tasks and to deliver upon committed dates
Education
Professional Skills
- Apply information / enterprise architecture methodologies and best practices (such as TOGAF and Oracle’s OADP) during discovery and recommendations and prepare appropriate deliverable
- Good interpersonal skills and ability to work effectively with other team members, on a global basis
- Experience designing microservices. Experience with monitoring, troubleshooting and debugging performance issues across the stack
- Data architecture, data modelling experience. Experience building microservices on the cloud
- DevOps skills – CI, CD, automation, scripting, IAC, etc
- Strong experience with enterprise application architecture
- Set and manage own priorities effectively in a dynamic organization
How to write Data Architect, Big Data Resume
Data Architect, Big Data role is responsible for aws, security, training, integration, database, marketing, java, architecture, design, digital.
To write great resume for data architect, big data job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Architect, Big Data Resume
The section contact information is important in your data architect, big data 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 Data Architect, Big Data Resume
The section work experience is an essential part of your data architect, big data 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 data architect, big data responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data architect, big data position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Architect, Big Data resume experience can include:
- Hands-on experience on Data Science/Engineering tools like Machine Learning in Python, R, Apache Mahout and Spark MLib, MATLAB, A/B Testing, PyTables
- Experience in architecting data center solutions – properly selecting server and storage hardware based on performance, availability and ROI requirements
- Experience working with large datasets, including data integration, data migration, analysis and visualization
- Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)
- Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR)
- Experience in using and integrating with BigData technologies such as HDFS, HBASE, HIVE, MapReduce, PIG, SPARK, IMPALA, STORM, KAFKA, and SOLR
Education on a Data Architect, Big Data Resume
Make sure to make education a priority on your data architect, big data resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data architect, big data 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 Data Architect, Big Data Resume
When listing skills on your data architect, big data 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 data architect, big data skills:
- Aggressively grow your skillset and translate your new capabilities into high-quality execution
- Demonstrate substantial depth of knowledge and experience in a specific area of Big Data and Java/Spark development
- Experience developing and supporting distributed computing systems applications using ElasticSearch, Java, Docker, Databases, etc
- Knowledge and understanding of cloud computing, Experience architecting microservices on the cloud
- Experience implementing data transformation and processing solutions using Apache PIG, Hive or Spark
- Experience applying at least one of formal Architecture developing method (e.g. Enterprise Architecture, UML)
List of Typical Experience For a Data Architect, Big Data Resume
Experience For Big Data Application Architect Resume
- Experience with AGILE, matrixed and distributed teams. Provide technical leadership, collaborate, guide and mentor engineers
- Day-to-day production support (incident coordination, changes, service requests, vulnerability management, performance tuning)
- Working in development with Big Data technologies like Hadoop, Storm, Spark, and or Kafka
- With Data Analytics using Hadoop/Spark/R/Python/Scala
- With Storm, Kafka, Spark streaming, HDFS, MapReduce, Hive and Python
Experience For Big Data Technical Architect Resume
- Work closely with business analysis and application owners to review and project requirements and design artifacts
- Work with various development teams to ensure deliverables meet and/or exceed expectations for, but not limited to; requirements, performance and compliance to standards
- Provide hands-on guidance and oversight on all aspects of solution delivery: sales, estimation, design, management, implementation, delivery and more
- Work closely with client technical and business stakeholders to shape the success of projects
- Collaborate with a software development team and our client to meet the client's’ Data and Analytics needs
- Reports to and supports the chief architect
- Develop and provide presentations to clients
Experience For Big Data Infrastructure Architect Resume
- Guide a team of software developers in all aspects of the software development lifecycle
- Work with the program team to ensure alignment between the development of the big data application(s) and the overall program
- Define and Shape the architecture of new Actimize Analytics Platform
- Contribute and review high Level designs and assist in detailed level designs
- Code complex parts of the product on occasion as well as perform code reviews to make sure code aligns with design, architecture and standards
Experience For Big Data, Technical Architect Resume
- Participate ARB review board for architectural presentations and approvals
- Design and Develop ETL layers for designated applications
- Translate technology concepts into clear, digestible, business appropriate language
- Create images, graphics and/or charts that provide exceptional clarity and connections to business objectives
- Influence leadership on key decisions as it relates to the technology strategy
- Package presentations concisely for UHC and Optum leadership and Set / mature the vision and strategy for the team
- Create and foster an environment of innovation - including: remove roadblocks and enable strategic risk taking; advocates and drives change management, enable and model adoption of innovative behaviors and practices
Experience For Enterprise Architect, Big Data Resume
- Advocate for the team by moving decisions forward and eliminating barriers
- Mentor junior engineers within the team for development and delivery
- Own the responsibility of Architecture, Design and Development of new products and implementations
- Provide technical leadership to architect big data solutions in cloud implementations
- Articulate pros and cons of various applicable technologies, platforms and tools and make recommendations
- Contribute and utilize Open Source Apache and Search algorithms to build verticalized common frameworks and reusable big data accelerators and solutions
- Provide technical leadership, collaborate, guide and mentor engineers
- Exposure to, and application of, a variety of SW technologies, at least
- Understand and translate customer business requirements into technical requirements
Experience For Architect, Big Data Resume
- Experience in designing and implementing big data solutions. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
- Togaf certification is an asset LI-MK1
- Oracle RAC, ASM CRS installation and support
- Certified Hadoop admin is an asset
- Storage management and efficiency
- Translate comprehensive DB architecture, implementation and upgrade plans and assists in definition of database standards, policies, and procedures
Experience For Eaa-big Data-practice Architect Resume
- Primary contact for projects within the team, interfacing with project managers, application development staff and executive management and infrastructure teams
- Familiarity with Big Data market trends
- Enterprise level Java development
- Big Data development
- Working experience with Hadoop, Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc)
- Experience of Big Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations
Experience For Software Architect, Big Data Resume
- Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with one or more relevant tools ( Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
- Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto)
- Travel to client locations to deliver professional services when needed
- Working experience with Hadoop, Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc), Batch Processing with tools such as Talend, Informatica, or Hive/SQL and Visualization with Tableau
- In development in Java/J2EE programming with Distributed file systems
- Full stack development on Angular/Bootstrap JS, Web Services & J2EE tech stack
Experience For Think Big Principal Data Architect Resume
- With Service Oriented Architecture and AWS/Cloud/Azure/IBM
- In distributed data basses like IBM Netezza, Teradata, Cassandra, Mongo DB, HBASE
- Strong experience in enterprise integration patterns in iPaaS, SaaS, PaaS, Cloud Computing, SOA, BigData Ecosystem, REST & Microservices, MDM/IMDM and Data Governance
- With direction from the Chief Architect and Architect Leader, align BigData technical architecture with key business strategy
- Partner with central and internal teams to device “BigData Integration” strategies, standards, patterns, models and best practices
Experience For Big Data Software Architect Resume
- Promote and influence usage of BigData and Cloud architectural standards, patterns and models in project and be a support anchor for development teams
- Logically analyze business challenges and opportunities. Conceive viable, innovative solutions and present them to both technical and business stake holders
- Create project deliverables, including, but not limited to: architectural diagrams, project proposals, requirements specification documents, project plans, software application prototypes, executive presentations and reviews
- Lead small and medium size teams, if required
- With direction from the Chief Architect and Architect Leader, align application technical architecture with key business strategy
- Partner with central and internal teams to device “Data Integration”strategies, standards, patterns, models and best practices
- Self-motivated, assertive, goal oriented and able to work productively with minimal supervision
- Familiarity with Ant, Maven, and/or SVN/GIT
List of Typical Skills For a Data Architect, Big Data Resume
Skills For Big Data Application Architect Resume
- Experience developing REST API using Hadoop
- Experience in designing in applications using Lambda architecture
- Experience with end-to-end J2EE application performance tuning , including back-end database layer , application server/web server layer
- Experience in the following technologies : Spring , Hibernate , SQL and J2EE technologies like Jsp, Servlets, JMS JMX,JDBC
- Previous experience working with ElasticSearch, Java, RESTful services on containers, Databases, DevOps teams dealing with microservices
Skills For Big Data Technical Architect Resume
- Experience of enterprise agile architecture using frameworks
- Hands on experience using
- Experience implementing MapReduce and/or Spark jobs
- Strong understanding with various enterprise security solutions such as LDAP and/or Kerberos, and Hadoop security packages such as Ranger or Sentry
- Proven prototyping track record in assessment of BigData technology integration or a design pattern for a project or a proof of concept solution
- Experience architecting high traffic , high scalability and high availability websites or internet transactional applications
Skills For Big Data Infrastructure Architect Resume
- Experience in Embarcadero ER Studio
- Excellent technical and hands-on knowledge of data architecture, data tools and technologies
- Progressive experience in large development or DevOps teams
- Provide technical leadership in enterprise and application solution big data architecture to enable scalable, cost effective and business relevant solutions
- Experience of IT platform implementation in a highly technical and analytical role
Skills For Big Data, Technical Architect Resume
- Experience of Big Data service or solution implementation is at least required
- Experience with ETL solutions on Hadoop
- Experience with Ambari and/or Cloudera Enterprise Manager and Director
- Solid background in Database administration or design
- Experience of IT platform implementation in a highly technical and analytical role
- Experience working with AWS big data technologies (EMR, Redshift, S3, Lambda)
- Experience in using NOSQL DB such as CASSANDRA, MONGODB, NEO4J and REDIS
Skills For Enterprise Architect, Big Data Resume
- Experience of IT platform implementation in a highly technical and analytical role
- Experience in Cloud technologies – AWS, BOTO, S3 and Security protocols
- Experience with J2EE Application servers (weblogic , tomcat etc)and web servers as well as J2EE web application development
- Experience in analytics development and ML
- Big Data and spark experience
Skills For Architect, Big Data Resume
- Experience as software architect and as a senior software developer
- Fluent and experienced in development in Java\Scala software design
- Performing SDLC phases of software engineering including requirements analysis, application design, and code development & testing
- Securing and publishing RESTFUL API through API management and gateway tools
- Understanding of Hadoop Architecture, Data Model Physicalization in Hive, HBase
Skills For Eaa-big Data-practice Architect Resume
- Leading decisions on architecture, design patterns, technologies used and automated test-driven development implementations
- Performing BigData ecosystem Architectures and Design of data driven applications
- Designing reusable frameworks, libraries and Java/Spark/Scala components
- Provide technical mentoring and foster technical team growth, including monitoring of design patterns, technologies and data engineering practices
- Lead implementations of Big data clusters, enabling robust analyzing, filtering and search capabilities with comprehensive data services architecture
- Hands-on programming using Python, Java, C, C++, and Scala
- The big data solutions architect is responsible for managing the full life-cycle of a Hadoop solution, including
Skills For Software Architect, Big Data Resume
- Perform system-wide bottleneck analysis including network analysis and performance tuning
- Assist in requirements shaping and mapping to system components
- Provide architecture and design thought leadership when selecting tools and setting standards
- Participate in technical discussions regarding new technology introduction and/or enterprise system planning activities
- Data Warehousing and Big Data Hadoop ecosystems
- To lead approaches and technologies for analytics applications, and to leverage existing and create new metadata driven solutions
Skills For Think Big Principal Data Architect Resume
- Support environments while executing projects deliverables
- Masters or PhD in Computer Science, Physics, Engineering or Math
- Mentor and coach peers to facilitate the broader adoption of architectural standards using BigData and Cloud technologies
- Exposure in designing API with RESTFUL standards
- Hands on development lead role focused on creating big data and analytics solutions for Digital channel
- Provide regular recurring status updates internally and externally
- Maintain awareness of industry trends in order to bring innovation and improvements to the analytics solution and the customer
- High personal potential and a passion for coding and development
Skills For Big Data Software Architect Resume
- Perform Ideation of new concepts like Machine Learning, AI and Data Science
- Oversee ongoing DevOps of big data and cloud services implementations
- Knowledge and understanding of ElasticSearch. Ability to design indices, model document structure based on the needs, Java services concepts
- Canonical modelling for enterprise integration solutions and reporting modelling concepts, including dimensional, snowflakes, slowly changing dimensions, and surrogate, compound and intelligent keys
- Familiarity with tools such as Jira or Agile Central
- Exposure to Hadoop and Collibra would be advantageous
- Knowledge of IT and Telecommunications Industry standards and technology trends
- Iterative/Increment development through prototypes
- Persistance technologies (e.g. JPA, etc)