Aws Data Architect

What's this role about?
As an AWS Data Architect, you will be responsible for providing advisory and thought leadership on migration to AWS Data Cloud or implementing data solutions using AWS Data Cloud services including integration with existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable Data Architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight.
Here's how you'll contribute:
AWS Data Architect at Zensar participates in end to end cycle from opportunity identification to its closure and takes up complete ownerships of project execution and provide valuable expertise in the project. You will do this by:

• Responding to client RFI, RFP documents with proper solution design including cost estimates
• Understanding customer requirements and create technical proposition
• Contributing to SoWs, technical project roadmaps, etc required for successful execution of projects leveraging Technical Scoping & Solutioning approach
• Managing and owning all aspects of technical development and delivery
• Understanding requirements and writing technical documents
• Ensuring code review and developing best practises
• Planning end to end technical scope of the project and customer engagement area including planning sprint and delivery
• Estimating effort, identifying risk and providing technical support whenever needed
• Demonstrating the ability to multitask and re prioritizing responsibility based on dynamic requirements
• Leading and mentoring teams as needed

Skills required to contribute:
12-15 Years of Data and Analytics experience with minimum 6 years in AWS Data Cloud Native Services

1. Excellent communication and presentation skills.
2. Extensive experience in AWS stack - S3, Glue, EMR. Redshift, DynamoDB, Kinesis, Lambda, Athena etc.
3. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
4. Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using native or 3rd party services.
5. Design and build production data pipelines from ingestion to consumption within a big Data Architecture, using Java, Python, Scala.
6. Good experience in designing & delivering data analytics solutions using AWS Cloud native services.
7. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
8. Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
9. Experienced in internal as well as external stakeholder management
10. Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage.
11. AWS Solution Architect or AWS Data Specialty certification will be added advantage.

Nice to have skills: Working experience with Snowflake, Databricks, Open source stack like Hadoop Bigdata, Pyspark, Scala, Python, Hive etc.