Senior Staff Engineer - Enterprise Data & Analytics

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer. 

Job Description:

Senior Staff Engineer

What you will discover:

• Inclusive culture and career growth opportunities
• Global IT Organization which collaborates across U.S., Canada, Europe and Australia
• Challenging, collaborative, and team-based environment

What you will do:

Enterprise Data & Analytics and the Self-service Enablement & Data team thrive on strong relationships with our business partners and working diligently to address their needs which support TJX growth and operational stability.  On this tightly knit and fast-paced team you will be constantly challenged to stretch and think outside the box. 

You will have a real opportunity to be a part of TJX’s transformation to a data driven culture, with the autonomy to work with the business and other Product Delivery teams to unlock game changing insights that drive business value.  We have modernized our technology stack to focus on the cloud and top tier tools. We are looking for someone who embraces the use of technology to build, manage, govern data and deliver impactful solutions to our business clients.

As a Senior Staff Engineer at TJX, you will work with a team that partners with Enterprise Data & Analytics internal teams and other IT Prodcut Delivery teams such as Merchandising to deliver products for one or more business data and self-service teams, coach and mentor engineers within the team and resolve issues as needed.

Key Responsibilities:

• Project and product ownership: Drive the full lifecycle of multiple projects, from initial design and requirements gathering through to delivery and implementation, working closely with key stakeholders & IT leaders across all levels to drive solutions to meet business needs.
• Technical leadership: The ability to lead without formal authority, influence technical decisions, and provide clear direction to multiple teams/projects guiding them through complex challenges.

• Strategic architecture and Solution design: Establish complete technology vision, strategy, and capability roadmaps that connect key self-service initiatives across platforms and corporate functions. Lead the design and create, improve, and modify it throughout its lifecycle – working with the clients and IT to ensure all aspects (e.g. from Snowflake to Alation) are working correctly within the Data and Analytics/Self-service data domain.

• Performance and optimization: Organize & perform regularly scheduled audits to ensure optimization of solutions to enhance data warehousing, analytics, and BI applications to ensure performance, reliability, and efficiency
• Solution implementation and governance: Oversee solution architecture development, consultancy, and assurance for key self-service projects, ensuring applications conform to enterprise standards and reference architecture. Analyze business users needs to develop and implement self-service data solutions via best practices and standards using tools like ADLS, Alation, Alteryx, Databricks, Power BI, Snowflake, and/or TM1.
• Mentorship and culture: Provide technical guidance and mentorship to other/junior engineers. Foster a culture of technical excellence by leading by example and promoting standards and best practices.
• Cross-functional collaboration: Build alignment and collaborate across teams such as, architecture, security, engineering, product management and the business to achieve project goals.
• Technology evaluation and innovation: Research and maintain awareness of emerging technologies, platforms, and best practices in cloud computing, data architecture, analytics, and AI/ML capabilities.
• Self-Service analytics enablement: Design and implement modern data architectures that enable self-service analytics while maintaining centralized governance and data quality standards.

What You will Need (Minimum Qualifications):

• 10+ years of Engineering experience in Data and Analytics and self-service enablement/technical domain.
• 10+ years of data modeling, data prep, data profiling, analysis with tool like Alteryx
• 8+ years Programming and Scripting experience using Python, SQL, Stored Procedures.
• 8+ years of experience with Snowflake, Netezza or Oracle databases.
• 5+ years of experience in Cloud Platforms (Azure, Snowflake), Cloud Data Processing (Azure Data Lake Storage, Azure Databricks, Snowpark).
• 5+ years of experience in DevOps - CI/CD, Automation, DevOps Tools (Jenkins, JFrog, GitHub, Control-M).
• Solid knowledge of Agile and DevOps tools such as Git/Gitlab, JIRA, Confluence
• Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results

Preferred Qualifications:

• Deep technical expertise: Possess extensive knowledge in both data warehousing and self-service tools/software.
• Experience: Experience in building data and analytics solutions, with a proven track record of technical leadership and ownership of complex projects.
• Problem-solving: Ability to solve complex technical issues across multiple platforms.
• Communication: Effectively communicate technical designs and strategies to a wide range of audiences, from engineering teams to upper management and other stakeholders.
• Strategic thinking: Ability to define technical strategy, plan, and prioritize efforts for development teams. 
• Ability to Learn: Ability to learn, understand and work with new emerging technologies, methodologies, and solutions in the data & self-service space to identify new opportunities for innovation.
• Strong knowledge of Sarbanes-Oxley (SOX) and data sensitivity controls.

Address:

Location: