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Senior Collibra Developer Jobs in Nevada (NOW HIRING)

Programmers.io

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Role Summary We are seeking a senior Technical Program Manager to lead complex, multi‑workstream ... The TPM will drive strategy, delivery, and governance across data engineering, analytics, and ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data ... Strong data engineering foundations - deep enough technical understanding to review architecture ...

All JobsCollibra Developer JobsSenior Collibra Developer JobsSenior Collibra Developer Jobs in Nevada

Senior Collibra Developer information

What is the difference between Senior Collibra Developer vs Data Governance Analyst?

AspectSenior Collibra DeveloperData Governance Analyst
Required CredentialsCollibra certifications, SQL, data management skillsData governance certifications, analytical skills
Work EnvironmentTechnical teams, IT departments, data management projectsBusiness units, compliance teams, data policy enforcement
Employer & Industry UsageFinancial, healthcare, tech companies implementing CollibraOrganizations focusing on data compliance and quality

The main difference is that a Senior Collibra Developer primarily focuses on implementing and customizing Collibra data governance tools, while a Data Governance Analyst concentrates on developing data policies, ensuring data quality, and compliance. Both roles require understanding data management, but the developer role is more technical, whereas the analyst role is more business-oriented.

What are some common challenges faced by Senior Collibra Developers when implementing data governance solutions across large organizations?

Senior Collibra Developers often encounter challenges such as integrating Collibra with diverse data sources, managing stakeholder expectations, and ensuring data quality standards are uniformly applied. Coordinating with cross-functional teams—including data stewards, architects, and business analysts—can be complex due to varying levels of data literacy and priorities. Additionally, customizing workflows and maintaining scalability as the organization grows require both technical expertise and a strong understanding of business processes. Successfully addressing these challenges often leads to improved data governance and career advancement opportunities.

What is a Senior Collibra Developer?

A Senior Collibra Developer is an experienced IT professional who specializes in implementing, customizing, and maintaining the Collibra Data Intelligence platform. They are responsible for designing data governance solutions, developing workflows, integrating Collibra with other systems, and supporting data management initiatives. In addition to strong technical skills, they often work closely with business stakeholders to ensure data quality, compliance, and effective data stewardship within an organization.

What are the key skills and qualifications needed to thrive as a Senior Collibra Developer, and why are they important?

To thrive as a Senior Collibra Developer, you need deep expertise in data governance, metadata management, and Collibra platform configuration, typically supported by a degree in computer science or related field. Proficiency with Collibra tools, SQL, workflow automation (e.g., BPMN), and relevant certifications such as Collibra Ranger are highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams set top performers apart. These skills are critical for implementing robust data governance solutions that ensure data quality, compliance, and business value.
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Senior Collibra Developer jobs near you

Technical Program Manager

Programmers.io

Las Vegas, NV • On-site

$123K - $159K/yr

Full-time

Re-posted 12 days ago

Job description

Role Summary

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 efforts—managing 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 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 & 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.
  • Lead partner/vendor engagements, SOWs, and third‑party delivery alignment.

People Leadership

  • Build 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 & Commercials

  • Own 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 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 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.

Education

  • Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).