Technical Lead, Data Platform Hybrid

Scope of Position

About Us
:

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.

Benefits & Perks
:

EDF power solutions offers best‑in‑class employee benefits, including the following:

• Competitive bonus incentives
  . This position is eligible for our annual bonus program.
• Comprehensive health coverage
  . We provide low‑cost health & wellness coverage for employees and their eligible dependents.
• Rewarding 401k
  . We provide a generous matching contribution.

We are also proud to offer:

• Favorable paid time off programs, including paid parental leave after one year of service.
• Rewarding learning & career development and advancement opportunities.
• Supportive mentorship & buddy programs.

Salary Range
. The full pay range for this role is $120,800 - $201,300 annually. We generally base our salary decisions on factors including but not limited to, relevant work and leadership experience, education, demonstrated performance, internal equity, and in some cases, geographic location.

Scope of Job
:

Based in San Diego, CA, the Technical Lead implements the architecture vision provided by the Data Architect, delivering a modern cloud data platform that includes infrastructure, data pipelines, and analytics readiness. The role owns end‑to‑end data flow from source systems through Snowflake to consumption‑ready data products, guiding a small team of engineers and coordinating with analytics, integration, and reporting stakeholders. The role emphasizes designing scalable, reliable data architectures that deliver measurable business value while aligning with established design standards and quality criteria.

The Technical Lead translates architecture criteria into actionable designs and implementations within approved guidelines, and actively contributes feedback to improve architecture, processes, and governance. This role combines platform engineering with analytics engineering to deliver a complete data solution and propose designs that reflect best practices and industry standards, with final architectural decisions remaining with the architecture function. Collaborates closely with SAP Analytics Engineers, Integration Engineers, Analytics and Insights Engineers, Product Management, and Business Stakeholders to translate strategy into concrete data solutions and value.

Work Location and Work Mode
:
Hybrid with 3 days on‑site in San Diego/Rancho Bernardo, CA.

• Implements cloud‑native data integrations using APIs and AWS services (S3, Glue, Lambda) to bring data into Snowflake from various sources, following architecture patterns defined by the Data Architect and within standards and guidelines set by the Data Engineering Manager.
• Builds and maintains data transformation models using dbt, creating dimensional models, data marts, and business logic based on specifications from SAP Reporting Analyst and business stakeholders.
• Manages Snowflake platform infrastructure including environment setup, performance optimization, cost management, security configuration, and access controls.
• Leads cross‑functional collaboration and aligns engineering work with business goals by working with business stakeholders, product management, analytics, governance, architecture, and data engineering; surfaces cross‑team decisions to the Data Engineering…