Manager, Data Engineering
Core
Leading a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure for high-performance data workflows.
Role type
Manager, Data Engineering
Builds
Scalable ETL pipelines, cloud-based data solutions, data warehousing, data lakes/lakehouses, and data governance frameworks.
Domain
Financial Services / Data Engineering
Deliverable
production ML models
Required skills
Team leadership, ETL development, Data warehousing, SQL, Python, Spark, Kafka, Cloud platforms (AWS/Azure/GCP), Database technologies (PostgreSQL/MySQL/MongoDB/Snowflake/BigQuery), Agile delivery, Stakeholder management, Data governance, Incident management.
Preferred skills
Financial services experience, AI-enabled tools adoption, Agile/Scrum/PMP/SAFe certifications, Cloud data platform modernization experience.
Technologies
AWS, Azure, Google Cloud, Spark, Hadoop, Kafka, PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Jira.
Responsibilities
Hire, mentor, and manage data engineering teams; Design and maintain scalable, fault-tolerant data architectures; Oversee relational and NoSQL database design and performance tuning; Automate data ingestion, transformation, and validation; Partner with data scientists and BI teams to develop scalable analytics solutions; Monitor and troubleshoot data pipelines for reliability; Drive Agile practices and capacity planning; Ensure data solutions are secure, compliant, and scalable; Lead product-oriented teams with end-to-end accountability for data products.
Seniority
Manager, People Leadership & Delivery
