Technical Lead, Data Platform [Hybrid]

EDF power solutions • San Diego, CA

1d • $120,800 - $201,300 • Hybrid

About The Position

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.

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.

Hybrid with 3 days on-site in San Diego/Rancho Bernardo, CA.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 8+ years in data engineering or data platform roles, including a history of leading technical teams and delivering production-grade data platforms.
• Hands-on experience with cloud computing (AWS preferred) and cloud data warehouses (Snowflake highly preferred).
• Solid experience using Python for data engineering, scripting, and data processing.
• Proficient with Git version control and Infrastructure as Code (IaC) tools like Terraform, CDK, CloudFormation, or Ansible.
• Proficient with dbt for building transformations, models, and analytics documentation.
• Mastery of SQL (complex queries, optimization, database design) and a deep understanding of dimensional modeling, star schemas, and data warehouse design patterns.
• Knowledge of best practices for data engineering, including Change Data Capture (CDC), slowly changing dimensions, and incremental loading.
• Skilled in code reviews, data quality testing, validation frameworks, and data governance (lineage, metadata management, and classification).
• Ability to translate a Data Architect’s high-level vision and business requirements into scalable, working data solutions.
• Capable of balancing infrastructure performance, cost, and reliability with business logic and KPI definitions.
• Comfortable leading design discussions, mentoring junior engineers, and driving root-cause analysis when technical issues arise.
• Experience working in an Agile environment (using Jira), collaborating within a small team, and proactively communicating progress or blockers to management.
• Proficient with data catalog platforms and the Microsoft Office suite (Teams, Outlook, Excel).

Nice To Haves

• Experience with workflow orchestration (Airflow, Dagster, Prefect)
• Exposure to ERP systems (SAP S4/HANA or SAP HANA)

Responsibilities

• 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 Manager as appropriate.
• Implements data quality frameworks, testing, monitoring, and alerting to ensure data accuracy and pipeline reliability across the platform, following established standards and criteria.
• Translates Data Architect’s vision and business requirements into technical roadmaps; presents progress, risks, and trade-offs to leadership and non-technical audiences; partners with Product Management to shape data platform capabilities aligned to business priorities
• Performs data integration tasks and partners with Reporting Engineers to optimize data models for visualization
• Documents data models, lineage, and technical architecture to support data governance initiatives
• Other duties as assigned

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior