Senior Manager Data Engineering
Core
Design and implement scalable, high-performance data platforms and AI-enabled data foundations to support business objectives and machine learning solutions.
Role type
Senior Manager Data Engineering (Technology Architect)
Builds
Large-scale data systems, batch and streaming pipelines, modern cloud data platforms, and AI/ML data services.
Domain
Cloud Data Engineering & AI Engineering
Deliverable
production ML models
Required skills
Cloud data platforms (AWS/Azure/GCP), Databricks, Python, Column-oriented databases (BigQuery/Redshift), NoSQL databases, SQL databases, Streaming and batch ETL frameworks, Data modeling and warehouse design, MLOps, AI engineering patterns (context engineering, RAG, agent architectures), Vector and graph databases.
Preferred skills
Agentic platforms (Pi, Hermes), Snowflake zero-copy architecture, Retail/Financial services industry experience, Cloud platform certifications, AI/ML lifecycle support (deployment, monitoring, evaluation).
Technologies
AWS, Azure, GCP, Databricks, Delta Lake, BigQuery, Redshift, DynamoDB, Cosmos DB, SQL Server, Oracle, MySQL, Glue ETL, Dataflow, Azure Data Factory, Spark, Vertex AI, Snowflake, Pi, Hermes Agent.
Responsibilities
Architect and build end-to-end data solutions; Lead data platform modernization; Mentor junior team members; Conduct technical feasibility assessments; Design data foundations for AI/ML and agentic workflows; Automate platform operations and observability.
Seniority
Senior, hands-on IC with management responsibilities