Technical Program Manager

Rezolve Ai; Las Vegas (NV); On-site; USD 120,000 - 170,000; Full time

Job summary

Rezolve Ai seeks a seasoned data engineering leader to drive complex, multi-vendor programs across data platforms. You will manage backlogs, mentor teams of 15–40, and align stakeholders with senior business and technical audiences.

A strong background in Databricks, SQL, Python, and cloud data stacks (Azure/AWS/GCP) is required, with expertise in data governance, warehousing, and streaming. Certifications and tooling expertise are highly valued.

Qualifications

• Experience delivering multi-workstream, multi-vendor programs.
• Strong backlog management and prioritization.
• Team leadership for 15–40 members and stakeholder alignment.
• Proficiency in Databricks, SQL, and Python for data workflows.
• CI/CD and cloud experience across Azure, AWS, or GCP.
• Data governance including cataloging, lineage, and access control.

Responsibilities

• Lead delivery of complex data programs across vendors and streams.
• Mentor and align senior stakeholders and technical teams.
• Establish data governance, quality frameworks, and cost governance.
• Oversee ETL/ELT pipelines, warehousing, and streaming workloads.
• Drive performance tuning and monitoring for cloud data platforms.

Skills

Databricks

SQL

Python

ETL/ELT

CI/CD

Azure

AWS

GCP

Data governance

Leadership

Stakeholder mgmt

Data warehousing

Streaming data

Education

PMP/Prince2 certification

SAFe/CSM certification

Databricks Data Engineer certification

Tools

Terraform/Bicep

Datadog/CloudWatch/Log Analytics

Great Expectations

Monte Carlo

Collibra/Purview

Airflow

Informatica

dbt

Databricks

Jenkins

GitHub Actions

Azure DevOps

Job description

Strong backlog management, prioritization, and stakeholder alignment.

Proven delivery of multi-workstream, multi-vendor programs. Databricks & Data Engineering

Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance.

ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informatica (any strong combo).

Strong SQL & practical Python for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins).

Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming). Cloud (one or more) Azure (preferred), AWS, or GCP—including storage, compute, IAM, networking basics, and monitoring.

Data Governance & Quality

• Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability.

Leadership & Communication

• Team leadership (15–40 members), mentorship, and conflict resolution.
• Clear, concise communication with senior business and technical audiences.

Good-to-Have

• Certifications: PMP/Prince2, SAFe/CSM, Databricks Data Engineer Professional, Azure/AWS cloud certs.
• Tools: Terraform/Bicep, Datadog/CloudWatch/Log Analytics, Great Expectations, Monte Carlo, Collibra/Purview.
• Domain exposure: Media/Entertainment, Telecom, BFSI, or Retail/E-commerce.