Director of Software Engineering; Data Engineering

Director of Software Engineering (Data Engineering)

March 10, 2026

• Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
• Lead strategy and operational delivery of business-critical platforms and services.
• Create new processes and structures to help drive delivery and operational excellence.
• Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
• Build a highly available, scalable platform with the customer at the center.
• Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
• Lead and direct the work of other employees and have responsibility for personnel actions including hiring, performance management, and termination. Supervision is often provided through a team of subordinate managers.

• Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
• Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
• Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
• Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.

• Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
• Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
• Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
• Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.

• Architect and govern data validation, reconciliation, and control frameworks for all migrations.
• Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
• Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
• Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.

• Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
• Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
• Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
• Lead cutover execution, rollback planning, and post-migration stabilization.

• Define and enforce test strategies for data migrations, including unit testing, data reconciliation testing, performance testing, and business validation.
• Partner with QE and UAT teams to ensure business data correctness and outcome validation.
• Own technical production readiness reviews and go-live criteria.
• Ensure operational monitoring, alerting, and incident response mechanisms are implemented prior to go-live.

• Partner with Cloud and Platform teams to optimize infrastructure performance, reliability, and cost.
• Enable consumption-ready data models for analytics, reporting, APIs, and AI/ML workloads.
• Drive adoption of automation, Infrastructure-as-Code, and CI/CD for data pipelines.

• Serve as the primary technical authority for data migration and data platform delivery.
• Communicate complex technical risks, tradeoffs, and architecture decisions in business-relevant terms.
• Coordinate closely with Business, Product, Architecture, Analytics, PMO, and Operations leaders.

• Lead and mentor data engineering managers, senior engineers, and…