Senior Fabric Data Engineer

San Diego, CA, United States

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Overview

WD-40 Company is seeking a Senior Fabric Data Engineer to join our dynamic IT team. This newly created role plays a pivotal role in shaping the data landscape at WD-40 Company by architecting, building, and maintaining robust data infrastructure within Microsoft Fabric. This position is responsible for enabling the seamless collection, storage, processing, and analysis of large-scale data to drive actionable insights and strategic decision-making across the organization.

 

As a senior technical leader, this role will design end-to-end data solutions, optimize data pipelines, and implement advanced automation frameworks that support enterprise-wide analytics initiatives. The ideal candidate will bring deep expertise in Microsoft Fabric, Azure Data Factory, Power BI, and Python, along with a strong understanding of data governance, security, and performance optimization.

 

If you're a strategic thinker and hands-on engineer who can collaborate across IT, business, and governance teams to ensure data solutions are scalable, secure, and aligned with corporate objectives, please consider joining our team!

 

This position is based at our headquarters in San Diego and offers the flexibility of working a hybrid schedule.

Responsibilities

  • Architect end-to-end data solutions within Microsoft Fabric and Power BI that support complex business analytics, ensuring scalability, resilience, and alignment with enterprise strategy.
  • Lead the orchestration and optimization of Azure Data Factory pipelines, overseeing data flow design, monitoring, and operational efficiency across environments and use cases.
  • Design and implement advanced data automation frameworks in Python, enabling reusable, modular, and high-performance analytics pipelines for production environments.
  • Own the strategy, governance, and performance of Fabric Lakehouse architecture, guiding its evolution to support both current reporting and future advanced analytics, including AI/ML integration.
  • Perform advanced data analysis and modeling, translating ambiguous business questions into analytical solutions that drive high-impact decision-making and strategic insights.
  • Drive cross-functional collaboration with IT, data governance, and business stakeholders to define and refine BI requirements, ensuring alignment with data strategy and regulatory expectations.
  • Mentor and technically guide junior and mid-level engineers, promoting best practices in code quality, data modeling, and platform governance while cultivating a high-performance engineering culture.
  • Lead proof-of-concept initiatives and technology evaluations, recommending and implementing innovative tools and practices to improve data platform capabilities and analytics velocity.
  • Ensure data compliance and security by design, embedding governance frameworks, lineage tracking, and access control into all data solutions and pipelines.
  • Serve as a technical escalation point for complex analytical and infrastructure issues, applying deep platform expertise and systems thinking to ensure high system availability and performance.
  • Qualifications

    • 7+ years managing large-scale platform infrastructure with a focus on Microsoft technologies.
    • 5+ years of experience with data warehousing and cloud-based ecosystems, particularly Azure.
    • 5+ years managing cloud infrastructure (of Azure Data Factory, Azure Databricks, Azure Stream Analytics, Azure SQL Database, Azure Cosmos DB, and Azure Blob Storage).
    • 3+ years working with ETL design and implementation, including data quality checks and data integrity.
    • Bachelor's or master's degree in computer science, Computer Engineering, or a related field, indicating an educational background in data engineering principles and practices.

    About Us

    Our “Why”

    At WD-40 Company, we believe that purpose-driven, passionate people guided by our values create amazing outcomes.  Our "why" is refreshingly simple - we exist to create positive lasting memories in everything we do. 

     

    Why You Should Apply

    • Learning-based culture that supports the growth and development of all tribe members 
    • Strong values aligned culture whose #1 strategic driver is to build a business for the future that we will be proud to hand down to the next generation 
    • Over 93.3% employee engagement as of January 2022 global employee survey
    • A culture where 93% of the tribe report experience a sense of belonging
    • Voted Most Democratic Workplace and certified WorldBlu Freedom Centered Workplace

     

    Do You Align With Our Values?

    Please, only consider employment with WD-40 Company if you feel as strongly about our values as we do:  We live, breathe, and play by our values every day.

    Thank you for considering WD-40 Company in your career search!   #PositiveLastingMemories

     At WD-40 Company we foster a culture of inclusion where all individuals are recognized, valued, respected, and experience a sense of belonging. All qualified applicants will receive consideration for employment without regard to individual characteristics that make us unique such as our backgrounds, experiences, qualities, talents, traits, beliefs, and preferences.  #LI-DNI

    We've Got You Covered

    Our competitive and comprehensive benefits package provides you protection, security, and peace of mind. We offer life-enhancing health, wellness, and financial programs, including profit sharing, annual cash incentive rewards, tuition reimbursement, and 401K match. In addition, we want you to recharge and take time off, so enjoy short-day Fridays, vacation time, paid holidays, and an additional paid week off between Christmas and the new year to spend with family and friends!

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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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    Category: Engineering Jobs

    Tags: Architecture Azure Business Analytics Computer Science Cosmos DB Data analysis Databricks Data governance Data pipelines Data quality Data strategy Data Warehousing Engineering ETL Machine Learning Pipelines Power BI Python Security SQL

    Perks/benefits: 401(k) matching Career development Competitive pay Health care Startup environment Wellness

    Region: North America
    Country: United States

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