Staff Engineer - Senior Data Engineer
Role Overview
• We are looking for an experienced Data & AI Architect with strong expertise in Databricks, AWS, Enterprise Data Architecture, PySpark, and AWS Bedrock.
• The candidate will be responsible for designing scalable, secure, and governed data and AI solutions across the enterprise.
• The role requires a strong understanding of modern data platforms, data modelling, data governance, data products, ETL, APIs, and cloud-native/serverless architectures, along with hands-on experience in emerging GenAI, AI Agents, AWS Bedrock, and Databricks Genie capabilities.
Full Job Posting
Qualifications
- 8+ years of overall experience in Data Engineering / Data Architecture / Cloud Architecture.
- 4+ years of experience with Databricks and modern cloud data platforms.
- Hands-on experience with AWS and modern data/AI technologies.
- Strong experience in Databricks architecture and development.
- Strong hands-on experience with AWS cloud platform and services.
- Strong understanding of Enterprise Data Architecture.
- Strong experience with PySpark and SQL.
- Experience with AWS Bedrock and GenAI/AI-agent solutions.
- Strong knowledge of data modelling, data governance, DBMS, data warehouses, and data marts.
- Experience in ETL/data pipeline architecture and development.
- Experience with SQL query optimization and performance tuning.
- Exposure to designing and consuming REST/API-based integrations.
- Experience in designing and enabling enterprise data products.
- Understanding of serverless architecture and cloud-native design patterns.
- Experience with Databricks Genie / Genie Spaces. Experience with AI Agents / Agentic AI frameworks and architectures.
- Experience with AWS serverless services such as Lambda, API Gateway, Glue, Step Functions, and related services.
- Experience with Delta Lake / Lakehouse architecture.
- Knowledge of Data Catalog, metadata management, lineage, and data quality frameworks.
- Experience with CI/CD and DevOps practices for data and AI platforms.
- Exposure to LLM application architecture, RAG, vector databases, and prompt engineering.
- Experience working in large-scale enterprise data transformation or modernization programs.
- Experience Strong experience in designing and delivering enterprise-scale data solutions.
- Experience leading technical discussions and working with cross-functional stakeholders.
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