Principal Solutions Architect – Data and Advanced Analytics
Avantor, Inc. (company site, opens in a new tab)15+ yrsPuneOn-siteDirect career pageEst. 35–55 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the architecture, design, and development of scalable, reliable, and high-performance data platforms including data warehouses, data lakes, and governance.
- Drive strategy and implementation of data integration, ETL pipelines, data modeling, and analytics solutions using cloud technologies like AWS, Azure, Snowflake, and Databricks.
- Collaborate across teams to align data solutions with business needs, mentor junior engineers, and integrate AI/ML techniques with data platforms.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 15+ years relevant experience including 3+ years in leadership or principal architect role in data architecture, engineering, or analytics.
- Strong hands-on expertise in Cloud Data technologies (Databricks, Microsoft OneLake/Fabric, Snowflake, AWS or GCP) and ETL tools (Matillion, Fivetran, SAP BODS, Snowpipe, Informatica, Talend, Spark, Kafka).
- Experience with data governance, data security, data mesh/fabric/lakehouse, and certifications in AWS, Azure, or enterprise architecture (e.g., TOGAF). Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced leader who has driven data architecture priorities at senior leadership level and implemented modern data platform solutions in large enterprises.
- Deep expertise in cloud data platforms and integration of AI/ML technologies with data solutions, including hands-on work with Snowflake, Databricks, Alation, Collibra, and Power BI.
- Strong strategic thinker comfortable collaborating cross-functionally to develop scalable, governed, and performant data ecosystems supporting complex business analytics needs.