Lead Digital Data Engineer (Databricks)

BJ's Wholesale Club, Inc.
Marlborough, MA, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$128,500 - $164,000
Working hours
Regular working hours
Job source

Tech stack

Adobe Analytics Artificial Intelligence Amazon Web Services Amazon S3 Automation of Tests Microsoft Azure Continuous Integration Data Architecture Information Engineering Data Governance Digital Data Distributed Data Store
+25 more
Amazon DynamoDB Google Analytics Identity and Access Management Operational Data Store Scrum Methodology Systems Development Life Cycle Search Technologies SQL Databases Data Streaming Systems Integration Apache Spark Data Lakes Pyspark Git Flow Information Technology Data Analytics Apache Kafka Machine Learning Operations Functional Programming Terraform Software Version Control Data Pipelines Confluent Amazon Redshift Databricks

Job description

As Lead Digital Data Engineer, you will own the design, build, and evolution of BJ’s Databricks Lakehouse, working closely with product managers, program managers, and business unit heads. You will turn digital, fulfillment, and operational data into trusted, governed, self-service data products, and lead our adoption of AI-powered analytics, including Genie and Databricks agents. Key Responsibilities

  • Design and maintain a scalable Lakehouse using Delta Lake and the medallion (Bronze/Silver/Gold) architecture, serving as the single source of truth for analytics following the migration from AWS Redshift.
  • Build batch and real-time pipelines integrating Kafka, DynamoDB, S3, and other AWS services with Databricks (Structured Streaming, Auto Loader, Delta Live Tables).
  • Ingest and integrate digital sources such as Adobe Analytics, AEP, and Google Analytics alongside transactional and operational data.
  • Implement data quality validation frameworks with automated checks, alerting, and SLAs so data is accurate and clearly represented across business verticals.
  • Lead data governance through Unity Catalog (access control, lineage, classification) and monitor pipeline health, freshness, and cost.
  • Design reusable Genie Spaces and AI/BI dashboards with certified metrics for business self-service.
  • Develop and productionize Databricks agents and AI use cases using Mosaic AI, MLflow, Model Serving, and Vector Search.
  • Optimize performance and cost across clusters, SQL Warehouses, and Delta tables.
  • Establish CI/CD for data pipelines (Databricks Asset Bundles, Git workflows, automated testing, Terraform).
  • Own and prioritize the digital data and analytics roadmap with product leaders.
  • Lead and mentor a distributed team of up to 10 engineers across onshore and offshore locations, driving Agile delivery and providing regular status and risk updates to senior leadership.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or equivalent, plus 7+ years of experience in data engineering, including 3+ years of hands-on Databricks experience in production. Experience must include:

  • Expert-level Apache Spark (PySpark and SQL), Delta Lake, and Lakehouse architecture
  • Unity Catalog, Databricks Workflows, and SQL Warehouses
  • Integrating AWS services: S3, Kafka (MSK/Confluent), DynamoDB, Lambda, and IAM
  • Building data quality and validation frameworks
  • Genie Spaces, AI/BI dashboards, and building Databricks agents or GenAI solutions (Mosaic AI, MLflow)
  • Building large-scale distributed data systems on AWS, Azure, or GCP
  • Working in an Agile Scrum environment and leading distributed teams
  • SDLC, CI/CD, version control, and test automation for data pipelines

Benefits & conditions

At BJ’s Wholesale Club, our team members are at the heart of everything we do. That’s why we offer a comprehensive benefits package designed to support your health, well-being and future - both on and off the job. When you grow, we grow.

Here’s just some of what you can look forward to:

  • Weekly Pay: Get paid every week so that you can manage your money on your terms.
  • Daily Pay: Access your earned pay before payday, giving you more flexibility when you need it. (fee may apply.)
  • Free BJ’s Memberships: Enjoy a complimentary The Club Card Membership, plus a free Supplemental Membership for someone in your household.*
  • Generous Paid Time Off: Take the time you need with vacation, personal, sick days, holidays, bereavement, and jury duty leave.*
  • Flexible and Affordable Health Benefits: Choose from three medical plans, and access optional dental, vision, Health Savings Account (HSA), and flexible spending account options to fit your lifestyle.*
  • 401(k) Retirement Savings Plan: Build your financial future with a company match (available to team members 18 and older).*
  • Employee Stock Purchase Plan: Accumulate funds through after-tax payroll deductions that can be used to purchase shares of BJ’s common stock at a 15% discount.*

About the company

BJ’s Wholesale Club is powered by more than 30,000 team members who make a real impact every day. Whether you’re stocking shelves, solving problems or shaping strategy, your work helps families save on what matters most., This is a hybrid role. Tuesday through Thursday are in-office days at BJ’s Club Support Center in Marlborough, MA and Monday and Friday are remote days.

In accordance with the Pay Transparency requirements, the following represents a good faith estimate of the compensation range for this position. At BJ’s Wholesale Club, we carefully consider a wide range of non-discriminatory factors when determining salary. Actual salaries will vary depending on factors including but not limited to location, education, experience, and qualifications. The pay range for this position is $128,500.00 - $164,000.00

We recognize the growing role of AI tools, including ChatGPT, and value familiarity with them. That said, we want to hear from your authentic self. Your application should reflect your own skills, experiences, and insights rather than AI-generated responses.

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