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Tier-1 brand, generalist Data Engineer title, metro location, and broad skill requirements.
Core data-engineering skills are transferable, but SAP/manufacturing and regulated-experience preferences add domain specificity.
8+ years plus mandatory Databricks/Spark/Snowflake, governance, and regulated-environment expectations increase strictness.
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Design, build, and scale end-to-end data products on cloud lakehouse platforms (Databricks, Snowflake) covering multiple business domains including Supply Chain, Manufacturing, and Quality.
Lead technical standards and architecture decisions while mentoring engineers within a global team, ensuring data quality, governance, and operational excellence for business-critical datasets.
Develop reusable frameworks and robust data models; embed AI techniques to accelerate data engineering workflows and maintain SLA adherence with monitoring, alerting, and troubleshooting.
8+ years professional experience building and scaling data products on cloud platforms such as Databricks and/or Snowflake.
Strong proficiency in Python (including functional and OOP), advanced SQL, and data modeling (relational, dimensional, lakehouse).
Solid understanding of distributed systems and system design for large-scale data processing; hands-on with Spark, Delta Lake or Apache Iceberg, dbt, and data governance (RBAC, PII, SOX).
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or equivalent experience; visa sponsorship not available.
Experienced individual contributor comfortable owning end-to-end cloud-based data product development and governance across diverse enterprise domains like SAP, Manufacturing, and Quality.
Proven technical leader who sets engineering standards, leads code reviews, mentors globally distributed teams, and communicates effectively across business, AI, and platform teams.
Strategic thinker with a strong software engineering foundation who adopts AI pragmatically and demonstrates system design judgment balancing performance, reliability, and cost.