Technical Program Manager - Data Platforms (Databricks/ETL) (Las Vegas)

Job ID: SRJ_8472Posted: 2026-02-18Location: Las Vegas,, NVSalary: USD 145-150 / Yearly (Full Time)Employment Type: Full TimeIndustry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsJob TitleTechnical Program Manager – Data Platforms (Databricks/ETL) | 15+ YearsLocationLas Vegas, Nevada, USA (2 days WFO Mandatory)Employment TypeFull-timeExperience15+ years overall with 8+ years in data engineering/analytics programs and 5+ years in leading cross-functional teams.Role SummaryWe 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 efforts—managing roadmaps, budgets, risks, and stakeholder communication while enabling high-performing teams to deliver business value at scale.Key ResponsibilitiesProgram Leadership & StrategyOwn 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 ManagementEstablish 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 optimization (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 & GovernancePartner 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 ManagementEngage 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.Lead partner/vendor engagements, SOWs, and third‑party delivery alignment.People LeadershipBuild and mentor high-performing teams (engineering managers, data engineers, analysts, QA).Lead hiring, capacity planning, performance management, and career development.Promote engineering excellence, documentation discipline, and a culture of continuous improvement.Financials & CommercialsOwn program budgets, resource plans, and cost controls (cloud/Databricks spend).Track and report financials: forecasts, burn rates, and variance analysis.Support proposals, estimations, and SOW renewals/extensions.Must‑Have SkillsProgram ManagementEnterprise-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 EngineeringDatabricks (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 & QualityData cataloging/lineage, DQ frameworks, access control, secrets management, auditability.Leadership & CommunicationTeam leadership (15–40 members), mentorship, and conflict resolution.Clear, concise communication with senior business and technical audiences.Good‑to‑HaveCertifications: 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.EducationBachelor’s or Master’s in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.