Principal Data Platform Engineer [Hybrid]

EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and service provider, serving utilities, corporations, industries, communities, institutions, and investors with reliable, low-carbon energy solutions that help meet growing demand.

From developing and building scalable wind (onshore and offshore), solar, storage (battery and pumped storage hydro), smart EV charging, microgrids, green hydrogen, and transmission projects, to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain—from origination to commercial operation.

Be a part of an innovative and collaborative team environment that fosters our goal of delivering renewable solutions to lead the transition to a sustainable energy future.

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  High proficiency with AWS cloud computing environments and associated data services.

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  Deep experience with cloud data warehouses (Snowflake strongly preferred).

• Proficiency with Git version control and modern CI/CD practices.

• Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CDK, CloudFormation, or Ansible).

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect).

• Exposure to SAP S/4HANA, SAP HANA, or enterprise ERP environments.

• Experience operating within Agile/Scrum frameworks (sprint planning, retrospectives).

• Translates data architecture visions, business requirements, and technical specifications into scalable, production-grade solutions.

• Leads technical design discussions, defends proposals in architecture reviews, and aligns infrastructure needs (performance, cost, reliability) with business KPIs.

• Conducts thorough code reviews to ensure maintainability, performance optimization, and quality, while mentoring junior engineers.

• Embeds data quality testing and validation frameworks directly into system designs.

• Implements data governance practices, including data lineage, metadata management, and classification standards.

• Leverages data catalog platforms and Jira for transparent project tracking and metadata management.

• Drives root-cause analysis for technical incidents, communicating remediation plans clearly to both technical and non-technical stakeholders.

• Demonstrates a versatile, self-starter mindset—effortlessly shifting between architecture, platform engineering, and analytics engineering in a growing, fast-paced environment.

• Uses strong interpersonal and influence skills to build consensus across broad stakeholder groups while keeping leadership informed of progress, blockers, and trade-offs.

• Environment: 100% office-based environment utilizing standard office equipment (computers, phones, Microsoft Office suite).

• Physical Requirements: Ability to sit, stand, or walk for extended periods while operating computer equipment and reviewing digital documentation.