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Overview

We are looking for a Lead Data Engineer to join our data team and take ownership of building and scaling our enterprise data platform. In this role, you will lead a team of engineers to design, develop, and deliver a robust, production-grade data solution that serves multiple business segments and data domains.

You are someone who is equally comfortable architecting a medallion lakehouse, writing a complex PySpark transformation, mentoring a junior engineer, and collaborating with data scientists to productionize models. You bring technical depth, leadership experience, and a genuine passion for clean, reliable data.

Responsibilities

• Lead a team of data engineers through the full delivery lifecycle — from architecture and design through to deployment and ongoing operations
• Design and implement scalable data pipelines that ingest, transform, and serve data across Bronze, Silver, and Gold layers using Medallion Architecture
• Build and maintain the organization's Databricks environment, including Unity Catalog, Delta Lake, and Databricks Workflows
• Develop and maintain RESTful APIs that expose data assets to downstream consumers including analytics teams, applications, and external partners
• Own pipeline reliability — establishing monitoring, alerting, data quality checks, and SLA frameworks across all ingestion patterns
• Partner closely with Data Scientists to support feature engineering, model training pipelines, and the operationalization of ML models into production
• Define and enforce data engineering standards, coding conventions, and peer review practices across the team
• Collaborate with Data Architects and Analytics Engineers to evolve the centralized data model and ensure consistency across segments
• Champion data governance practices including lineage tracking, metadata management, and access control using Azure Purview and Unity Catalog
• Partner closely with our Product leaders to help guide and design needed data solutions.
• And other duties as assigned.

Requirements

Leadership & Delivery

• 3+ years leading a data engineering team or serving as a technical lead on a major data platform initiative
• Demonstrated experience delivering an end-to-end data solution — from requirements through production — across a complex, multi-source environment
• Ability to manage competing priorities, communicate technical decisions to non-technical stakeholders, and keep a team aligned and productive

Databricks & Lakehouse

• Deep hands-on experience with Databricks or similar tools, including Delta Lake, Unity Catalog, Databricks Workflows, and cluster/job optimization
• Strong understanding of Medallion Architecture (Bronze / Silver / Gold) and how to apply it pragmatically across different data domains
• Proficiency in PySpark and Spark SQL for large-scale data transformation

Data Pipelines & Ingestion

• Experience building and maintaining pipelines across multiple ingestion patterns — APIs, CDC, file-based, streaming (Kafka, Event Hubs), and batch
• Familiarity with orchestration tools such as Apache Airflow, Databricks Workflows, or Azure Data Factory
• Strong understanding of pipeline reliability patterns: idempotency, incremental loading, schema evolution, and error handling

API Development

• Proven experience designing and building RESTful APIs to expose data assets, including authentication, versioning, rate limiting, and documentation
• Familiarity with FastAPI, Flask, or similar Python-based API frameworks
• Understanding of API gateway patterns within Azure (Azure API Management)

SQL & Azure

• Expert-level SQL skills including window functions, CTEs, query optimization, and data modeling
• Hands-on experience with the Azure data ecosystem: Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Purview, Azure Key Vault, and Azure DevOps
• Understanding of Azure networking, IAM, and security patterns as they apply to data platform architecture

Data Science Collaboration

• Solid grounding in data science concepts — feature engineering, model training workflows, experiment tracking, and ML model deployment
• Experience supporting or building MLflow-based experiment tracking and model registries within Databricks
• Ability to translate data science requirements into reliable, scalable data infrastructure

Preferred Skills

• Experience with Microsoft Fabric and Microsoft OneLake
• Experience in the Oil & Gas or energy industry, particularly with operational, production, or field data
• Familiarity with dbt (data build tool) for analytics engineering workflows
• Exposure to real-time / streaming data patterns using Kafka, MQTT, or Azure Event Hubs
• Experience with Terraform or Bicep for infrastructure-as-code on Azure
• Knowledge of data mesh principles and federated data ownership models

What Success Looks Like in Year One

• A production-grade Medallion Architecture is live on Databricks, serving data from multiple business segments
• Pipelines are reliable, monitored, and documented — the team spends more time building than firefighting
• APIs are in use by downstream consumers internally and externally with clear ownership and versioning
• The team has a consistent engineering culture with defined standards, review processes, and a healthy backlog
• Data Scientists have a faster path from experimentation to production

About You

You don't just write good code — you make the people around you better engineers. You care about data quality not because it's in your job description, but because bad data has real consequences. You're pragmatic about perfection and know when to ship versus when to refactor. And you're excited about building something that genuinely changes how a business understands itself.

Additional Details

• Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation.
• Visa Sponsorship: Employment eligibility to work with Quorum Software in Canada is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.

About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since , Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.

Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

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