Data Engineering Director

RGP is hiring a Director, Data Platform & Integration to help grow and deliver work across our Digital Build & Integration practice.

This person will drive sales, serve as the solution architect for data platform and integration opportunities, and provide technical leadership through delivery. The right candidate brings senior-level depth across the full enterprise data lifecycle and the consulting experience to turn complex, cross-platform data challenges into solutions that can be sold, scoped, built, and expanded. They operate with a system-level perspective from ingestion and integration through modeling and consumption, and they carry that perspective into every client conversation.

This is a client-facing role for someone who can move fluidly between architecture-level conversations with enterprise data architects and business-level conversations with CIOs, CDOs and data platform owners, independently shape engagements, and stay accountable for technical quality once the work is sold.

Base Pay Range: $170,000 - $213,000

Other Compensation:
Incentive Compensation

• Drive new and expanded client work for the practice, with a focus on data platform, Master Data Management, and enterprise integration engagements.
• Build relationships with senior client stakeholders including CDOs, enterprise architects, VPs of Data, and data platform owners across financial services, healthcare, and enterprise accounts.
• Lead technical sales conversations from discovery through solutioning, proposal, close, delivery, and expansion, operating as the primary technical voice in pursuit situations.
• Serve as the solution architect for data platform and integration engagements, owning the technical approach from first conversation through delivery.
• Define architecture direction, platform fit, integration strategy, operational data model design, assumptions, risks, and pricing inputs across environments including Databricks, Snowflake, Azure Data Factory, Microsoft Fabric, and Azure Data Lake.
• Bring a system-level perspective across the full data lifecycle, including ingestion, orchestration, integration, MDM, service-layer architecture, modeling, and consumption, to ensure solutions are coherent end to end and not just technically competent in isolation.
• Translate complex, cross-platform data challenges into clear solution paths that CDOs, enterprise architects, and business stakeholders can understand, evaluate, and commit to.
• Create and present proposals, estimates, solution narratives, executive recommendations, technical approaches, and delivery recommendations.
• Provide technical leadership during delivery, including architecture decisions, solution direction, technical risk management, and quality of outcomes.
• Guide delivery team members on technical approach and platform standards, stepping in to resolve architecture-level issues that affect scope, feasibility, or client confidence.
• Use AI-native development approaches to rapidly explore, prototype, and validate solutions, converting ambiguous client needs into executable, high-value work faster than traditional discovery and design cycles allow.
• Identify expansion opportunities through strong delivery, client trust, and a clear understanding of the client's broader data ecosystem needs.
• Build reusable sales assets, solution frameworks, demos, estimation models, and delivery approaches that strengthen the practice's ability to pursue and close data platform work.

• 10+ years of experience designing and delivering enterprise data platform solutions, including data pipelines, MDM implementations, service-layer integrations, and cloud data migrations.
• 10+ years of experience in a professional services, consulting, systems…