Website:
hdsupply.jobs
Job details:
ROLE OVERVIEW
As Manager – Data Engineering, you will lead a team of data engineers and senior software engineers
across domains such as data engineering. You will be responsible for defining, building, and
optimizing enterprise-grade data platforms and pipelines that support large-scale analytics, AI/ML,
and digital transformation initiatives. In addition, you will manage the Data Engineering Support team,
ensuring reliable production operations through strong incident, problem, and service delivery
practices while continuously improving platform stability and performance.
This role requires strong technical leadership in data engineering, deep expertise across modern data
stacks, and the ability to balance delivery excellence with people leadership.
Essential Skills
- Strong Snowflake data engineering skills (SQL + Snowpark), including incremental processing and operational automation using native capabilities (e.g., pipelines orchestrated with platform features)
- Proficiency in dbt for modular transformations with built-in testing and documentation practices in a production workflow · Proficient in data visualization using Tableau or Python libraries (e.g., Matplotlib, Seaborn, Plotly) to deliver clear, actionable insights
- Experience with AtScale semantic models to standardize KPIs and improve query performance · Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms
- Experience in any relational databases (Oracle, SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB)
- Strong cloud data platform expertise across Snowflake and GCP services (incl. BigQuery and Dataflow) to design and run scalable, production-grade data pipelines
- Experience with API development and microservices-based data integrations
- Proven CI/CD capability for data pipelines, enabling automated build/test/deploy workflows for data transformations and platform changes using modern DataOps practices
REQUIREMENT
Roles & Responsibilities:
- Define the Data Engineering strategy aligned with organizational data & AI priorities.
- Drive adoption of cloud-native data platforms and modern architectures (data lakes, lakehouses, data mesh).
- Partner with enterprise teams to enable self-service data and reporting capabilities
- Oversee the design, development, and optimization of data pipelines and integrations
- Lead delivery of scalable ELT/processing workloads on Snowflake, leveraging platform-native capabilities (e.g., Snowpark) to build performant, maintainable data pipelines
- Own implementation of dbt transformation layers (models /tests/ docs) to ensure analytics-ready, version-controlled data products with repeatable deployment practices
- Ensure reliable downstream BI consumption by enabling Tableau with governed/published data sources and performance-minded design patterns for enterprise dashboards
- Drive adoption and operations of AtScale semantic models to standardize metric definitions and deliver consistent, governed analytics across BI tools and cloud warehouses
- Ensure high-quality, reliable, and scalable data infrastructure supporting AI/ML and analytics initiatives
- Manage the data platform production support team, establishing clear incident/problem response procedures, escalation paths, and post-incident learnings to protect platform reliability and business SLA
Support & Enablement
- Collaborate with global cross-functional stakeholders to integrate data solutions into enterprise systems
- Operationalize data quality gates by embedding validations (e.g., Great Expectations suites / checks) into pipelines so issues are detected early and shared in a common, auditable format for engineering and stakeholders
- Promote innovation in data engineering through piloting new tools, techniques, and architectures
People Leadership
- Lead and mentor a diverse team of Sr. Data Engineers and Data Engineers
- Foster a culture of collaboration, innovation, and continuous learning
- Build career pathways and create opportunities for team member’s growth in technical and leadership tracks
Click on Apply to know more.