Principal Solutions Architect – Data and Advanced Analytics
Avantor, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, highly specialized data-architecture role with niche requirements reduces qualified applicant density.
Role requires deep enterprise data architecture and governance expertise, limiting cross-industry transferability.
Extensive 15+ years requirement plus specific cloud, Snowflake, Databricks and governance tool expertise raises shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout 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.