Lead Data Engineer / Data Architect

Lead Data Engineer / Data Architect

8+ Years Job Summary Seeking an experienced Data Engineer / Data Architect to assess, design, and implement scalable cloud-based data platforms, modern data architectures, and enterprise integration solutions. Key Responsibilities Assess current-state data platforms and identify modernization opportunities. Design scalable data, integration, and cloud architectures. Develop and optimize ETL/ELT pipelines and data workflows. Build data lakes, data warehouses, and lakehouse solutions. Design data models and integration patterns (API, batch, streaming). Ensure data quality, governance, security, and compliance. Collaborate with business and technical stakeholders to define solutions. Support cloud migration and data modernization initiatives. Optimize data performance, scalability, and reliability. Provide technical leadership, architecture guidance, and best practices. Required Skills SQL, Python, PySpark, or Scala Data Modeling (Star, Snowflake, Dimensional) ETL/ELT Development Apache Spark Apache Airflow or similar orchestration tools REST APIs and Data Integration Git, CI/CD, Agile methodologies Preferred Experience Enterprise data architecture and cloud migration Data lake, warehouse, and lakehouse implementations API, batch, and streaming integrations Data governance and metadata management Modern analytics and AI/ML data platforms Cloud Platforms AWS: S3, Glue, Redshift, EMR, Athena Preferred Technologies Databricks,Snowflake, Kafka, Delta Lake, Docker Preferred Domains Insurance, Banking, Financial Services, Retail, Healthcare, or Manufacturing. Key Competencies Strong analytical and problem-solving skills Excellent communication and stakeholder management Solution-oriented mindset Ability to lead technical discussions and mentor teams

Official Taleo metadata: primary skills Python^MySQL^Data modeling; primary location Pune; other locations Mumbai; employment Permanent; posted Jul 29, 2026, 9:30:00 AM.