Key Responsibilities
- Ownership of Data Warehouse models and curation (Snowflake, Redshift, DBT)
- Design, build, and optimize data pipelines using PySpark and Python for scalability and reliability
- Implement and manage workflow orchestration with Airflow for scheduling and automation
- Manage infrastructure-as-code with Terraform to ensure reproducibility and reliability of data environments
- Build and manage serverless and distributed data processing workflows using AWS Glue, EMR, and Lambda
- Drive the evolution of the data environment to deliver high-quality data, speed, and availability
- Curate source-system data — including RDBMS sources — to deliver trusted, analytics-ready datasets
- Provide input and involvement on data cataloging and data management efforts
- Own production ETL/ELT performance tuning and environment-level resource consumption and management
- Drive the migration of POC pipelines to production-ready processes
- Lead technical decision-making on data architecture and mentor junior/mid-level engineers
- Collaborate with analytics, product,



and business teams to ensure data solutions align with organizational needs

Qualifications
- 10+ years of experience in data engineering and data warehouse development
- Solid SQL development skills with expertise in performance tuning on RDBMS (Postgres, MySQL, or similar)
- Mandatory experience with: Terraform, Airflow, Snowflake, Redshift, DBT, Python, and PySpark
- Hands-on experience with AWS Glue, EMR, and Lambda for building scalable, distributed data pipelines
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field
- Proven experience designing and delivering enterprise-scale data warehouses and marts to support business analytics
- Experience developing data curation and integration processes, metadata management, and data quality initiatives
- Experience with streaming and real-time data processing (Spark, Databricks optional)
- Familiarity with ETL too

📌 Principal Data Architect (Hyderabad)
🏢 Evoke Technologies
📍 Hyderabad