Director of Data Engineering Delivery Manager HYBRID

Confidential client New York NY

At a glance

Client: Confidential (Client introduces you when it matters)

Location: New York NY

Workplace: Hybrid

Type: Full-time

Pay: $75/hour

Posted: Sep 15 2026

The employer is seeking an experienced Director of Data Engineering / Delivery Manager to lead large-scale data and analytics programs drive engineering excellence and manage delivery across multiple strategic accounts. This role requires ownership of end-to-end delivery engineering governance client relationship management account growth and building high-performing data engineering teams. Day-to-day the person will own end-to-end delivery of enterprise data engineering and analytics programs ensuring projects are delivered on time within budget and with high quality. They will establish delivery governance risk management and execution frameworks and lead multi-workstream programs involving data platforms cloud modernization AI/ML and analytics initiatives using Agile and DevOps best practices. They will define and execute enterprise data platform roadmaps lead architecture decisions across Azure AWS GCP Snowflake Databricks and Microsoft Fabric and drive adoption of scalable data architectures including Lakehouse Data Mesh and Data Products while ensuring data quality governance security and compliance. The role also involves serving as a trusted advisor to senior client executives leading executive steering committee meetings and governance reviews managing escalations and driving strategic account growth. The leader will build mentor and scale high-performing data engineering teams managing Engineering Managers Architects Leads and Data Engineers and will lead both onshore and offshore delivery teams while driving workforce planning hiring succession planning and capability development. Additionally the Director will own program budgets forecasting revenue and margin targets; optimize resource utilization and delivery efficiency; monitor KPIs covering delivery health engineering productivity quality and customer satisfaction; and support proposal development solutioning estimations and RFP responses.

Azure AWS GCP Snowflake Databricks Microsoft Fabric Python SQL Spark / PySpark Terraform CI/CD Agile Program Delivery