Sr. Data Platform Engineer

A World-Class Team 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. We’re a team built on purpose and opportunity. Join us and be part of something meaningful. Why You’ll Love Working at BJ’s 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. 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.* *Eligibility requirements vary by position.

Summary We are seeking a Senior Data Platform Engineer to support the administration, automation, governance, security, and optimization of our enterprise Databricks Lakehouse platform on AWS. This is a hands-on technical role responsible for maintaining and enhancing the Databricks platform, implementing infrastructure automation, enforcing compute and security standards, supporting cost-governance initiatives, and enabling reliable Data Engineering and Data Science workloads. The ideal candidate will have strong hands-on experience with Databricks platform administration, AWS cloud services, Terraform-based infrastructure automation, and DevOps practices. The individual will evaluate emerging Databricks capabilities through proof-of-concept implementations and contribute to reusable platform patterns and standards. This role will collaborate closely with Data Engineering, Data Science, Cloud Platform, Security, and Governance teams to ensure the Databricks environment remains secure, reliable, scalable, and cost-efficient.

Databricks Platform Administration Support and maintain enterprise Databricks workspace architecture, including networking, security, and compute governance. Implement and maintain cluster policies, job policies, compute guardrails, and platform governance standards. Manage and optimize Databricks compute environments including job clusters, interactive clusters, and serverless compute. Implement Unity Catalog for centralized data governance and access management. Manage workspace configurations, platform integrations, and operational reliability. AWS Cloud Architecture for Databricks Design and maintain secure and scalable Databricks infrastructure leveraging AWS services including: IAM roles and cross-account access architecture VPC networking, subnets, and secure connectivity PrivateLink and secure endpoint configuration S3 data lake architecture AWS KMS encryption and key management CloudWatch monitoring and logging integration Ensure the platform aligns with enterprise security, compliance, and networking standards. Infrastructure as Code & DevOps Automation Build and maintain Databricks infrastructure using Terraform. Implement infrastructure-as-code frameworks for workspace provisioning, cluster policies, and platform configurations. Develop automation using: Databricks CLI Databricks REST APIs Python and shell scripting Design and maintain CI/CD