At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.

We're seeking experienced Data Platform Engineers with deep Databricks and Unity Catalog expertise to support a growing portfolio of clients building modern lakehouse platforms. This role focuses on building resilient and scalable data foundations — owning access control, data quality, cataloging, lineage, and business semantics within Unity Catalog. You'll play a key role in ensuring data across the platform is trusted, well-governed, and ready to power analytics and AI use cases.

What You'll Do Own data governance within Databricks, primarily through Unity Catalog, across access control, cataloging, auditing, lineage, data quality, business semantics, cost controls, and data sharing. Design and implement access control and security models (catalogs, schemas, row/column-level permissions) within Unity Catalog. Build and maintain data quality frameworks and validation rules directly in the platform (e.g., Delta Live Tables expectations, constraints). Certify tables and identify "gold standard" datasets, establishing what's official and production-ready across the lakehouse. Define and maintain business semantics (metadata, glossaries, table/column documentation) that ground AI and natural-language query systems in accurate context — critical for preventing hallucinations in downstream AI use cases. Implement lineage tracking and auditing across pipelines and consumption layers. Manage cost controls and governance over compute/storage usage within Databricks. Partner with data engineers, AI/ML teams, and business stakeholders to ensure governance is embedded across the full platform, not siloed. Stay current on Unity Catalog capabilities across data, ML, and AI workloads.

What We’re Looking For Strong, hands-on experience with Databricks and Unity Catalog — this is a platform-native governance role, not a legacy MDM/DQ tool role. Demonstrated experience building governance frameworks: access control, data quality, lineage, cataloging, and metadata/business semantics. Comfort working across the full data platform — pipelines, ML, and AI workloads — with enough AI literacy to support semantic layers that power LLM/AI applications. Proficiency in SQL, Python, and data pipeline development. Experience with Delta Lake architecture preferred. Excellent communication skills — able to work cross-functionally as governance touches every part of the project, not as a standalone function. Bachelor's or Master's degree in Computer Science, Information Systems, or related field.

Why Lumenalta is an amazing place to work at At Lumenalta, you can expect that you will: Be 100% dedicated to one project at a time so that you can innovate and grow. Be part of a team of talented and collaborative senior-level professionals. Work on projects that allow you to leverage modern data platforms and industry-leading tools.

Salary Salary range: CA$83,000 - CA$170,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location: This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

Benefits In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for T4 Employees. A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career.

Position Details This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline Applications will be accepted until July 29, 2026. Candidates can expect feedback by August 1, 2026.