Manager, Data Platform Engineer

Blackstone Technology Group; Golden (CO); On-site; USD 180,000 - 230,000; Full time

Job summary

Blackstone Talent Group is hiring a Manager, Data Platform Engineer to lead strategy, governance, and adoption of the organization’s modern data platform. You will drive architecture choices, promote self‑service analytics, and partner across teams to ensure scalable, reliable analytics capabilities.

The role blends platform oversight with hands-on engineering, enabling data products and dashboards across Power BI and Sigma while guiding security, reliability, and cost management in a

Qualifications

• Bachelor’s degree or equivalent in Engineering, CS, Data Science or Information Systems.
• 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.

Responsibilities

• Platform Strategy & Architecture: Deliver data platform roadmap aligned to business analytics strategy.
• Contribute to architectural decisions on data ingestion, transformation, modeling, Lakehouse, and semantic layers for BI tools.
• Ensure platform scalability, performance, cost optimization, and future-readiness.
• Propose new platform capabilities, tooling, and automation to raise maturity.
• Platform Stability & Operations: Manage reliability, availability, and performance monitoring.
• Establish and manage SLAs/SLOs for data pipelines and analytics workloads; incident management and root cause analysis.
• Collaborate with infra/cloud teams on environment strategy and cost visibility.
• Ensure data product readiness and governance for production pipelines.
• Adoption & Enablement: Promote self-service analytics and adoption of the data platform.
• Define standards for data products, dashboards, documentation, and discoverability.
• Lead user enablement programs and analytics governance forums.
• Partner with business teams to identify high-value use cases and accelerate delivery.
• Team Leadership & Delivery: Lead and develop a team of data/analytics engineers and platform specialists.
• Establish delivery frameworks and prioritization processes; promote CI/CD, testing, and observability; adopt product-oriented operating models.
• Collaborate with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Skills

Data platform governance

Data engineering leadership

Analytics engineering

Team leadership

Databricks

Lakehouse architecture

Power BI

Sigma analytics

Azure

AWS

GCP

Stakeholder management

Education

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

Tools

Databricks

Power BI

Sigma

Azure

AWS

GCP

Job description

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Manager, Data Platform Engineer 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.

Roles & Responsibilities:

• 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.
• Team Leadership & 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.

Security Clearance Required:

Eligible Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

EOE of Minorities/Females/Veterans/Disabilities