Principal Engineer
TJX
Principal Engineer 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: Principal Engineer What you’ll discover
- Inclusive culture and career growth opportunities
- A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more
- Challenging, collaborative, and team-based environment
- Define and execute the data strategy, roadmap, and architecture aligned with business objectives.
- Establish and enforce engineering best practices, design standards, and development processes.
- Evaluate emerging technologies and lead POCs to drive next-generation data and AI solutions.
- Design and deliver scalable data platforms, pipelines, and BI solutions
- Lead cross-functional initiatives, owning epics and driving execution from concept to delivery.
- Ensure data quality, security, scalability, and performance across systems.
- Drive adoption of Gen AI and Agentic AI to enhance analytics, automation, and decision-making.
- Lead development of AI-powered analytics and reporting solutions.
- Partner with business, product, and architecture teams to translate complex requirements into technical solutions.
- Act as a trusted advisor, communicating insights effectively to non-technical stakeholders.
- Serve as a domain expert in data systems and business applications.
- Own technical roadmaps, influence IT investments, and guide enterprise data platform evolution.
- Mentor engineers, onboard new hires, and conduct technical coaching and knowledge-sharing sessions.
- Support hiring through technical interviews and talent evaluation.
- Champion DevOps and engineering excellence across teams.
- Take ownership of critical initiatives, proactively solving complex problems.
- Lead cross-team collaboration to deliver strategic outcomes.
- Bachelor’s degree with 15+ years, or Master’s degree with 12+ years of experience in data engineering, analytics, or business intelligence.
- Extensive experience in data-intensive environments, translating business needs into technical solutions.
- Snowflake, Databricks, Pyspark, Fabric, Power BI
- SQL, Oracle, Python, data modelling, and data warehousing
- Any cloud platforms like Azure, AWS, GCP, or Oracle Cloud Infrastructure (OCI)
- Hands-on experience in data management and platform development.
- Deep knowledge of data quality, governance, and advanced data architectures.
- Proven experience building and leading enterprise-scale data platforms.
- Strong knowledge of Business Intelligence systems, reporting.
- Demonstrated leadership in data engineering, warehousing, or data science domains.
- Excellent communication, influence, and stakeholder management skills.
- Strong mentoring capability and ability to work in fast-paced, complex environments.
- Expertise in driving AI-driven innovation in data systems, including performance, scalability, and reliability improvements.
- Strong business acumen with the ability to align data initiatives to strategic outcomes.
- Experience working across multi-cloud or hybrid environments.
- Advanced degree in AI, distributed systems, or data engineering.
- Machine Learning and AI solutions
- Experience working with event driven and distributed architectures, APIs
- Proven ability to operate effectively in ambiguous and rapidly evolving environments.
- Strategic thinking and execution excellence
- Advanced data architecture and engineering expertise
- Strong leadership and mentoring skills
- Effective communication and stakeholder engagement
- Innovation mindset with focus on AI and data transformation
- Commitment to diversity, inclusion, and team collaboration
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