Lead Data Engineer - Data Transformation (Modeling and Architecture)
Core
Designing and building scalable data architectures, models, and pipelines to support enterprise systems and AI-ready solutions.
Role type
Lead Data Engineer (Data Modeling and Architecture)
Builds
Data Lake and Data Warehouse patterns, high-performance data pipelines, and robust cloud-based solutions.
Domain
Financial services, big data, cloud computing
Deliverable
production ML models | infrastructure
Required skills
Data modeling (conceptual, logical, physical), Data architecture design, SQL, Python, Spark, Cloud computing (AWS/Azure/GCP), Data governance, Metadata management, Agile practices
Preferred skills
Consumer Driven design, Real-time data streaming, NoSQL implementation, Data warehousing (Redshift/Snowflake), UNIX/Linux shell scripting, Interactive AI tooling
Technologies
Spark, Python, SQL, AWS, Microsoft Azure, Google Cloud, Kafka, Hadoop, Hive, EMR, Redshift, Snowflake, MongoDB, Cassandra
Responsibilities
Build and maintain comprehensive data models across layers; Lead design of the org data landscape; Architect and implement robust data ecosystem solutions; Support high-performance data pipelines and complex transformations; Define and enforce data governance standards; Collaborate with Agile teams to design and implement technical solutions
Seniority
Lead, hands-on IC with mentorship responsibilities
