Senior Databricks Platform Architect — Energy & Oil/Gas

Senior Databricks Platform Architect — Energy & Oil/Gas Company Background: TekRek has partnered with a boutique data and AI consultancy operating at the intersection of Azure, Databricks, and energy. This firm takes a white-glove, platform-first approach to digital transformation, working primarily with oil and gas majors, energy companies, and geo-science organizations across North America. Their delivery model is nearshore-focused: same time zone, senior resources, and deep domain expertise are non-negotiable. They are a Databricks partner and Microsoft Azure partner, and their practice spans advisory, data and ML engineering, and AI activation. This is a contract engagement for a senior Databricks architect with genuine energy sector experience. The right candidate will plug in immediately, no ramp time, and deliver at a senior architecture level from day one. Job Description: You will be joining a boutique consultancy as a Senior Databricks Platform Architect on a contract basis, embedded within client engagements in the energy and oil and gas sector. You will own architecture decisions end-to-end, from platform design through delivery, and serve as the senior technical presence on client projects. You will: Design and architect enterprise-grade Databricks Lakehouse platforms for energy and oil and gas clients Lead Unity Catalog implementations, including metastore architecture, access controls, governance frameworks, and migrations from legacy catalog setups Build and optimize data engineering pipelines using PySpark, Delta Live Tables, and Databricks Workflows Serve as the senior technical point of contact with client stakeholders, translating business requirements into platform architecture Work within Azure-native environments, integrating Azure Data Lake Storage, Azure Data Factory, and related services Contribute to medallion architecture designs (Bronze/Silver/Gold) and ensure pipelines meet performance, cost, and reliability standards Identify opportunities to expand or improve the platform and flag them proactively to the engagement team Job Requirements: 8+ years of data engineering or solutions architecture experience 3+ years of hands-on Databricks delivery in a professional services or consulting environment Direct experience in the energy, oil and gas, or geo-science sector, this is a hard requirement Deep Unity Catalog experience, implementation, migration, governance design, and access control configuration Strong PySpark and SQL proficiency — production pipeline experience required Azure cloud experience, ADLS Gen2, Azure DevOps, ADF, and related services Databricks certification (Associate or Professional) strongly preferred Immediately available or available within 2 weeks Nice to Have: Experience with ArcGIS or geo-spatial data platforms Terraform or Pulumi for Databricks infrastructure deployment Familiarity with seismic data processing or operational data patterns in energy Experience with Delta Live Tables and structured streaming Why Apply? This is a rare opportunity to work with a boutique firm that punches well above its weight — a tight-knit team of senior specialists who are doing genuinely interesting work with some of the largest energy companies in North America. You will not be one of hundreds of contractors. You will be a known, valued contributor with direct access to leadership and real influence over how engagements are delivered. The firm values domain expertise and technical credibility above all else. If you have built real things in energy on Databricks, this engagement was designed for you. Rate: commensurate with experience. Engagement type: contract. Location: remote.

Design and architect enterprise-grade Databricks Lakehouse platforms and lead Unity Catalog implementations for energy sector clients. Serve as the senior technical lead translating business requirements into scalable platform architecture and optimized data pipelines.

Requires 8+ years of data engineering experience with at least 3 years of professional Databricks delivery and mandatory experience in the energy, oil and gas, or geo-science sector. Proficiency in PySpark, SQL, and Azure cloud services is required, with Databricks certification strongly preferred.

• Microsoft AzurePreferred
• SQLPreferred
• TerraformPreferred

Identified from the job description. Confirm important requirements above.

• Databricks
• Azure
• Unity Catalog
• PySpark
• SQL
• Lakehouse Architecture
• Delta Live Tables
• Azure Data Lake Storage
• Azure Data Factory
• Medallion Architecture
• Data Engineering
• Solutions Architecture
• Geo-spatial Data
• Terraform
• Pulumi
• Azure DevOps

• Data & Analytics
• Energy
• Consulting
• Technology
• Engineering

Minimum education

Professional degree

Minimum experience

10+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available