Data Engineering Development Manager

Blueprint • Bellevue, WA

1d • Remote

About The Position

We are looking for a Data Engineer Development Manager to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best-in-class service to our customers. We are seeking an experienced Development Manager, Data Engineering to lead and grow our data engineering practice. This is a leadership-first role — you will shape the technical direction of our medallion lakehouse architectures, mentor a high-performing team of data engineers, and serve as the primary technical liaison across clients, sales, and delivery. You will be the connective tissue between business goals and scalable, production-grade data pipelines.

Requirements

• 7+ years of hands-on data engineering experience, including pipeline development, cloud data platforms, and medallion/lakehouse architecture
• 3+ years in a team lead or management capacity, overseeing data engineers in a consulting or product environment
• Deep experience with cloud platforms (Azure preferred; AWS or GCP acceptable) and modern data stack tools (Databricks, ADF, Spark, dbt, Fivetran, etc.)
• Proven ability to translate ambiguous business requirements into concrete, scalable technical solutions
• Strong written and verbal communication skills; comfort presenting to C-suite and executive stakeholders
• Experience contributing to presales or client-facing business development conversations

Nice To Haves

• Experience managing medallion lakehouse architectures using Microsoft Fabric, Databricks, or equivalent platforms
• Familiarity with data governance frameworks and compliance considerations (GDPR, HIPAA, etc.)
• Background in consulting or professional services environments with multi-client delivery experience
• Experience establishing CI/CD pipelines for data engineering workflows (Azure DevOps, GitHub Actions, etc.)

Responsibilities

• People Management & Mentorship Provide ongoing guidance, mentorship, and career development support to data engineering team members
• Foster a collaborative, high-trust team culture built on continuous learning and accountability
• Identify skill gaps and create development plans to grow team capability over time
• Conduct regular 1:1s and performance conversations aligned with individual and team goals
• Technical Leadership Serve as the high-level architect for client engagements — defining medallion lakehouse patterns, data pipeline strategies, and platform decisions
• Review and approve technical aspects of Statements of Work (SOWs) and project plans
• Provide hands-on keyboard support when team members are blocked or when critical deliverables require direct intervention
• Define and enforce technical standards, coding conventions, and best practices across the team
• Delivery & Project Direction Partner with delivery leadership to clear roadblocks, manage client conflict, and ensure projects stay on track
• Define roadmaps with clearly scoped, distributable tasks that enable parallel execution
• Break work into incremental deliverables that provide early value and support iterative improvement
• Prioritize features and projects based on level of effort (LOE) and business impact
• Resource Management Manage allocation of technical resources across active engagements, ensuring the right skills are matched to project needs
• Collaborate with delivery managers and account leads to anticipate resource needs and proactively address capacity constraints
• Sales & Presales Support Participate in presales conversations to provide technical credibility and help scope data engineering solutions
• Articulate complex technical concepts clearly to non-technical stakeholders and prospective clients
• Assist in proposal development, SOW definition, and technical estimation
• Incident Management & Continuous Improvement Lead post-mortem reviews for incidents and engagement challenges — documenting findings and driving process improvements
• Share learnings broadly to raise the team's overall execution quality

Benefits

• Competitive salary and performance-based incentives
• Fully remote or hybrid work environment with flexible scheduling
• Opportunity to shape the technical culture and direction of a growing data engineering practice
• Access to emerging technologies and a strong emphasis on continued learning and certification
• Collaborative, low-ego team where your impact is visible and valued
• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed