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Technical Program Manager
Job Location:
Job Location:
Las Vegas, NV - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
18 October 2026 (Yesterday)
Posted:
Application Deadline:
15 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Technical Program Manager
Salary : 160k including 15% VP of gross salary
Location - Las Vegas Nevada ( Onsite DAY1 )
We are seeking a senior Technical Program Manager to lead complex multi-workstream data platform initiatives using Databricks and modern ETL/ELT patterns. The TPM will drive strategy delivery and governance across data engineering analytics and platform modernization effortsmanaging roadmaps budgets risks and stakeholder communication while enabling high-performing teams to deliver business value at scale.
Key Responsibilities:
Program Leadership & Strategy Own end-to-end program strategy roadmap and execution for Databricks-centric data platform initiatives.
Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
Orchestrate cross-functional delivery across data engineering platform DevOps QA and security teams. Delivery Management
Establish delivery governance (RAID change control dependencies risk burndown) and ensure on-time on-budget delivery.
Drive Agile at scale (Scrum/Kanban/SAFe) sprint health throughput and release management.
Define and enforce SLAs/SLOs for data pipelines batch/streaming jobs and analytics products.
Technical Program Ownership (Databricks/ETL)
Guide solution direction for Databricks (Apache Spark Delta Lake Unity Catalog) ETL/ELT flows and data warehousing.
Oversee modernization/migration programs (onprem to cloud) cost Eligible to workimization (cluster policies job scheduling) and performance tuning.
Ensure robust CI/CD for data pipelines IaC for platform components and environment parity across Dev/Test/Prod. Data Architecture & Governance
Partner with architects on data models lakehouse patterns CDC and medallion architecture.
Implement data quality lineage cataloging and access controls (e.g. Unity Catalog row/column-level security).
Ensure compliance with data privacy and regulatory requirements (e.g. PII/GDPR as applicable).
Stakeholder & Customer Management Engage senior business stakeholders product owners and client leadership; manage expectations and executive reporting. Convert ambiguous requirements into clear program epics with acceptance criteria and success measures.
Required Skills: Program Management
Enterprise-scale program ownership governance RAID management executive communication.
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 Eligible to workPincluding storage compute IAM networking basics and monitoring. Data Governance & Quality Data cataloging/lineage DQ frameworks access control secrets management auditability. Leadership & Communication Team leadership (1540 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.
Salary : 160k including 15% VP of gross salary
Location - Las Vegas Nevada ( Onsite DAY1 )
We are seeking a senior Technical Program Manager to lead complex multi-workstream data platform initiatives using Databricks and modern ETL/ELT patterns. The TPM will drive strategy delivery and governance across data engineering analytics and platform modernization effortsmanaging roadmaps budgets risks and stakeholder communication while enabling high-performing teams to deliver business value at scale.
Key Responsibilities:
Program Leadership & Strategy Own end-to-end program strategy roadmap and execution for Databricks-centric data platform initiatives.
Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
Orchestrate cross-functional delivery across data engineering platform DevOps QA and security teams. Delivery Management
Establish delivery governance (RAID change control dependencies risk burndown) and ensure on-time on-budget delivery.
Drive Agile at scale (Scrum/Kanban/SAFe) sprint health throughput and release management.
Define and enforce SLAs/SLOs for data pipelines batch/streaming jobs and analytics products.
Technical Program Ownership (Databricks/ETL)
Guide solution direction for Databricks (Apache Spark Delta Lake Unity Catalog) ETL/ELT flows and data warehousing.
Oversee modernization/migration programs (onprem to cloud) cost Eligible to workimization (cluster policies job scheduling) and performance tuning.
Ensure robust CI/CD for data pipelines IaC for platform components and environment parity across Dev/Test/Prod. Data Architecture & Governance
Partner with architects on data models lakehouse patterns CDC and medallion architecture.
Implement data quality lineage cataloging and access controls (e.g. Unity Catalog row/column-level security).
Ensure compliance with data privacy and regulatory requirements (e.g. PII/GDPR as applicable).
Stakeholder & Customer Management Engage senior business stakeholders product owners and client leadership; manage expectations and executive reporting. Convert ambiguous requirements into clear program epics with acceptance criteria and success measures.
Required Skills: Program Management
Enterprise-scale program ownership governance RAID management executive communication.
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 Eligible to workPincluding storage compute IAM networking basics and monitoring. Data Governance & Quality Data cataloging/lineage DQ frameworks access control secrets management auditability. Leadership & Communication Team leadership (1540 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.
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Required Experience:
IC
