Architect and oversee scalable data pipelines across ingestion, transformation, orchestration, and delivery, for both batch and streaming use cases.
Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data contracts, and metrics governance.
Partner with business stakeholders to deliver high-quality, self-serve data solutions aligned to business needs.
Ensure data platform reliability, observability, SLAs, and incident response, treating the platform as a product with real users.
Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.).
Set and enforce data quality, documentation, and governance standards to build trust across the business.
AI-assisted development: Champion use of AI coding assistants and LLM-powered tooling (e.g. Cursor, GitHub Copilot, Claude) to accelerate delivery and reduce toil.
Intelligent data pipelines: Implement AI-native patterns-LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis.
Natural language interfaces: Prototype NL-to-SQL and AI-powered BI tools to empower self-serve analytics for non-technical users.
AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to enable AI and ML experimentation and scale.
What you'll need to know/have
7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
Strong command of SQL and Python
Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
Proven ability to define and execute a multi-year data platform strategy
Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
Track record of delivering trusted, well-documented, and widely adopted data products
It would be great if you also had
Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
Exposure to data mesh or data product organizational models
Additional Job Description
BENEFITS
As a full-time, regular teammate, you are eligible for the following benefits, beginning the first of the month following your start date.
Benefits include
Competitive pay with annual performance-based reviews for continued growth and recognition
Comprehensive healthcare plan options, including PPO, EPO, HDHP, and HMO (acupuncture and physical therapy included)
Health Savings Account (HSA) with employer HSA contributions when enrolled in the High-Deductible Healthcare Plan (HDHP)
Dental and Vision plans
401(k) Company Matching up to $5,000 annually with immediate 100% vesting and administrative fees paid for by the company
Company-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance
Employee Assistance Program that provides access to individualized mental well-being care
Generous Vacation, Sick, Paid Holidays, and Volunteer Time Off
14 weeks of 100% paid leave for birthing parents and 8 weeks of 100% paid leave for non-birthing parents, plus a Specialized bike for your new baby
Up to $9,000 annually in Career Development & Degree Assistance
Up to $250 annually in Fitness & Wellness Reimbursement
Industry Pro-Deal Discounts and Perks
For additional information on benefits and perks, please visit: https://benefits.specialized.com.
PAY
Below is a summary of compensation elements for this role at the company if based in the following locations:
California Base Pay Range: ($119,628 - $208,153 )
At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location.
We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone – especially those from marginalized groups – to apply to our job postings and help us earn the position as the rider’s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!
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