Sr Data Engineering Manager

Staples - Framingham, MA

Full-time - Senior

Framingham, MA

Merchant Wholesalers, Nondurable Goods

About the position

The Senior Manager of Data Solutions Engineering at Staples will lead the Enterprise Data & Analytics team, focusing on building and defining advanced analytical models and data solutions architecture to support the North American Delivery organization. This role involves establishing data infrastructure, governance processes, and ensuring the delivery of customer-centric technology services that drive data-driven decision-making across the enterprise.

Responsibilities

• Define and deploy data architecture and governance models.
• Oversee the design and creation of data architecture and repositories.
• Develop data products from proof of concept to scalable solutions based on business priorities.
• Champion technical design sessions to facilitate discussions with architects and engineers.
• Enable data-driven decision-making by improving access to information for business users.
• Increase adoption of Data & Analytics through self-service and data catalog initiatives.
• Manage data flow from internal and external sources using distributed and local data structures.
• Optimize the data pipeline platform for scalable workloads and diverse use cases.
• Support mission-critical applications and near real-time data needs.
• Participate in design and code reviews and collaborate with cybersecurity and infrastructure teams to secure data.
• Assist in developing internal standards for data engineering and system documentation.

Requirements

• Bachelor's Degree or equivalent in Computer Sciences, Data Analytics, Management Information Systems, or related quantitative field in Data Engineering.
• 10+ years of experience in designing and building scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark and Hadoop.
• Strong hands-on coding experience with Python, PySpark, and SQL for data manipulation and summarization.
• Experience in database optimization techniques such as partitioning, indexing, and query optimization.
• Management and mentorship experience with direct reports.

Nice-to-haves

• Experience with Airflow, Kubernetes, and cloud infrastructure (e.g., Azure, GCP).
• Hands-on experience with cloud data warehousing services like Snowflake.
• Familiarity with SnowSQL, GCP - BigQuery, Cloud SQL, DataFlow, Pub/Sub, and Cloud Functions.
• Experience in developing User Defined Functions (UDF) in Python and SQL.
• Understanding of data technology trends such as Data Fabric and Decision Intelligence.

Benefits

• Inclusive culture with associate-led Business Resource Groups.
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays).
• Online and Retail Discounts.
• Company Match 401(k).
• Physical and Mental Health Wellness programs.