Experience
8+ years of experience in data engineering, data architecture, and data platform delivery.
Proven track record in designing and implementing data platforms, ETL frameworks, and data integration solutions.
Experience working across multiple industries or complex domains, with robust adaptability to new environments.
Demonstrated leadership in end-to-end project delivery, including architecture, development, deployment, and production support.
Experience with data governance and regulatory compliance frameworks.
Extensive experience with Agile delivery, DevOps practices, and automation of data platform deployments.
Preferably 5+ years of experience within the pharma/biotech domain or other highly regulated environments.
Technical Skills
Cloud Platforms: Azure and AWS.
Data Platforms ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere.
Programming Processing: Python, PySpark, SQL, PL/SQL, T-SQL.
Data Architecture Modelling: Relational, Dimensional, Data Vault.
Integration Technologies: CDC (e.g., Fivetran SAAS, HVR), REST API s, MQTT,



AMQP (e.g., RabbitMQ), real-time data streaming platform (e.g. Kinesis, Kafka), IoT platform (e.g., AVEVA Connect).
Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services.
Automation, DevOps CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management.
Data Governance: Data quality frameworks (e.g., Spark DQX), governance tools (e.g., Databricks Unity Catalog), data contracts, metadata management, and regulatory (e.g., GxP) compliance.

Soft Skills
Robust ability to operate in complex business environments and translate requirements into data solutions / designs / architectures.
Excellent communication and stakeholder management abilities.
Ability to work independently and collaboratively across regions and time zones.

Working Setting

Choose one of the

📌 Pdm Business Domain Product Manager Bengaluru
🏢 ADP
📍 Bengaluru