AWS Data Architect

Greetings from TATA CONSULTANCY SERVICES LIMITED !!!

Thank you for exploring career opportunities with Asia's largest IT company.

Exciting #Job Opportunities for #Experienced Professionals

Role: AWS Data Architect

Experience Range: 815 years

Location: PAN India

Job Description AWS Data Architect

Responsibilities:

• As a member of the Data on Cloud CoE (Centre of Excellence), provide technical pre-sales enablement covering data architecture, data engineering, data modeling, data consumption, data platform migration, and data governance focusing on AWS data platform.
• Expert-level knowledge on AWS Data Platform data engineering, performance, consumption, security, governance, and admin aspects.
• Collaborate with cross-functional teams in onsite/offshore setups and solve technical problems with various stakeholders, including customer teams.
• Create technical proposals and respond to large-scale RFPs.
• Discuss existing solutions, design/optimize solutions, and prepare execution plans for development, deployment, and enabling end users to utilize the data platform.
• Organize workshops and meetings with account teams, leadership, and senior client stakeholders, including CXO level.
• Create POVs and conduct PoCs.
• Liaise with technology partners like AWS, Databricks, etc.

Required Skills:

• 1015 years of total experience with at least 3+ years of expertise in AWS data platform technologies (Glue, EMR, RedShift, Databricks, etc.).
• At least one end-to-end AWS data platform implementation covering architecture, design, data engineering, visualization, and governance.
• Strong experience in data migrations and development of ODS, EDW, Data Lakes, and Data Marts.
• Hands-on SQL and Data Warehousing lifecycle knowledge.
• Experience with cloud ETL/ELT tools (DBT, Glue, EMR, Matillion) and exposure to Big Data ecosystem (Hadoop).
• Expertise in traditional data warehouses (Oracle, Teradata, Oracle Exadata).
• Excellent communication skills to liaise with business and IT stakeholders.
• Expertise in project planning and effort estimation.
• Understanding of Data Vault, data mesh, and data fabric architecture patterns.
• Exposure to Agile ways of working.

Good to Have:

• Coding experience in Python and PySpark.
• Knowledge of DevOps, CI/CD, GitHub.
• Experience or understanding of Banking and Financial Services domains.