Manager - Data Engineering

Blackstone Talent Group; Golden (CO); On-site; USD 150,000 - 190,000; Full time

Job summary

Blackstone Talent Group is seeking a Data Platform Engineering Manager (Governance & Quality) to lead strategy, governance, and adoption of the organization’s modern data platform. You will work cross-functionally to drive platform direction, best practices, and self-service analytics.

This player-coach role combines architecture oversight with operational ownership and enables analytics across the enterprise using Power BI and Sigma.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.
• 7+ years of experience in data engineering, analytics engineering, or data platform leadership
• 3+ years of experience leading technical teams
• Hands-on experience with Databricks / Lakehouse architectures
• Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar)
• Experience managing production data platforms in cloud environments (Azure, AWS, or GCP)
• Proven ability to drive platform adoption and organizational change
• Strong stakeholder engagement and communication skills

Responsibilities

• Lead data platform strategy and roadmap aligned to analytics and business strategy.
• Oversee platform architecture decisions related to ingestion, transformation, modeling, Lakehouse patterns, and semantic layer strategy for Power BI and Sigma.
• Ensure platform scalability, performance, cost optimization, and future-readiness.
• Establish SLAs / SLOs for data pipelines and analytics workloads; incident management and governance.
• Partner with infrastructure/cloud teams on environment strategy and cost visibility.
• Improve platform production readiness and data product delivery standards.
• Drive adoption of self-service analytics and governance practices.
• Lead and develop a team of data engineers and analytics engineers.
• Promote CI/CD, testing, observability, and agile operating models.
• Collaborate with Data & Analytics leadership to drive measurable business outcomes.

Skills

Data engineering

Analytics engineering

Platform leadership

Databricks

Lakehouse

Power BI

Sigma

Azure

AWS

GCP

CI/CD

Agile

Stakeholder management

Education

Bachelor’s degree in Engineering, Computer Science, Data Science or Information systems

Tools

Databricks

Power BI

Job description

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Platform Engineering Manager to join our client's team.

The Data Platform Engineering Manager (Governance & Quality) leads the strategy, stability, governance, and adoption of the organization’s modern data platform. The role is responsible for ensuring the data ecosystem supports scalable, reliable, and business-impacting analytics capabilities. This position works cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption. It is a player‑coach role that blends platform architecture oversight, operational ownership, and enablement of self‑service analytics across the organization.

Platform Strategy & Architecture

• Execute and deliver against the data platform roadmap aligned to business and analytics strategy. Contribute to and implement architectural decisions related to data ingestion, transformation, modeling patterns, Lakehouse architecture, medallion design, and Semantic and consumption layer strategy across Power BI and Sigma.
• Ensure platform scalability, performance, cost optimization, and future-readiness.
• Provide strong input for and introduce new platform capabilities, tooling, and automation to improve platform maturity.

Platform Stability & Operations

• Manage platform reliability, availability, and performance monitoring.
• Establish and manage SLAs / SLOs for data pipelines and analytics workloads, incident management and root cause processes, platform governance, security, and access patterns.
• Partner with infrastructure / cloud teams and provide input on environment strategy, workspace management, cost visibility and optimization.
• In coordination with Data & Analytics leadership, ensure data platform production readiness standards for data products and pipelines.

Adoption & Enablement

• Support adoption of the data platform and self-service analytics capabilities
• Define standards for data product design, dashboard and analytics development, documentation and discoverability. Lead user enablement initiatives such as training programs, office hours and community of practice, analytics governance forums.
• Partner with business teams to identify high-value use cases and accelerate delivery.
• Lead and develop a team of data engineers, analytics engineers, or platform specialists.
• Establish delivery frameworks and prioritization processes.
• Promote modern engineering practices including CI/CD for data pipelines, Testing and observability, Agile / product-oriented operating models.
• Collaborate closely with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Job Requirements:

Education:

• Bachelor’s degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.

Experience:

• 7+ years of experience in data engineering, analytics engineering, or data platform leadership
• 3+ years of experience leading technical teams
• Hands-on experience with Databricks / Lakehouse architectures
• Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar)
• Experience managing production data platforms in cloud environments (Azure, AWS, or GCP)
• Proven ability to drive platform adoption and organizational change
• Strong stakeholder engagement and communication skills