Data Engineering Manager

Wrench Group • Sarasota, FL

1d • $145,000 - $155,000

About The Position

The Data Engineering Manager is a hands‑on player/coach who owns Wrench Group’s core data foundation; connecting brand, operational, and customer data into governed, reliable products that the business can trust and use. In this role, you lead a small team while actively designing how data moves through the enterprise, establishing clear methodologies for access, quality, monitoring, security, and cost. Providing guardrails to ensure consistent, well‑documented datasets are available across our brands. You partner closely with the BI & Analytics team, enabling them with certified datasets and predictable refreshes to accelerate reporting and predictive models, improve operational clarity, and elevate customer experience, all while fostering a culture of transparency, reliability, and continuous improvement. Please note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas needed now or in the future. Wrench Group is a national leader in home repair, replacement, and maintenance services specializing in heating, ventilation, and air conditioning, plumbing, water, and electrical services. Our partner locations have built strong reputations with brands dating back to the 1940s. At Wrench Group, we are a group of like-minded individuals focused on achieving the highest customer satisfaction possible through our strong network of technicians, sales, customer service, and support staff. Our business model looks to partner with organizations that have great leadership and proven winning cultures. The focus is on supporting businesses with a proven track record to help them accelerate growth and deliver customer thrill at every touchpoint.

Requirements

• Bachelor’s/Master’s in CS/Engineering (or related).
• 5+ years of data/analytics engineering; 2+ years in lead or mentoring capacity.
• Hands‑on Azure Databricks (Delta Lake, Unity Catalog, SQL, Workflows/DLT), Python/PySpark, SQL.
• Experience with ADLS Gen2, Synapse serverless/SQL, and integrating CRM/ERP/CDP sources (e.g., ServiceTitan, FiveTran, APIs).
• Proven delivery of BI‑ready, indexed datasets and optimized data models to support Power BI reporting, without ownership of semantic models.
• Experience working within matrix organizations to deliver cross‑department data integrations.
• Strong communication, stakeholder influence, and outcome‑
• Experience with vendor relationships (Azure Databricks, license partners, etc.)

Nice To Haves

• Data Mesh, Data Products: domain‑owned products, data contracts, SLAs/SLOs, certification via Unity Catalog.
• Unity Catalog + Purview Governance: RLS/CLS, lineage, glossary/classification, governed naming; audit‑ready policies.
• Delta Lake Lifecycle: partitioning, OPTIMIZE/ZORDER, retention/vacuum, SCD/CDC patterns; performance for Databricks SQL.
• Security & Identity (Entra ID): RBAC/service principals, Key Vault, private endpoints, cluster policies, auditing.
• Obervability & Cost: Azure Monitor/Log Analytics, refresh SLAs, cost dashboards; autoscaling/Photon, workload separation.

Responsibilities

• Design & build pipelines on Azure Databricks (Delta Lake, Workflows/DLT, Autoloader) into ADLS Gen2; optimize storage/compute.
• Manage & mentor one data engineer; set code standards, reviews, CI/CD, and reliability SLOs.
• Implement Unity Catalog governance (catalogs/schemas, RLS/CLS, grants) with Microsoft Purview lineage & glossary.
• Define data contracts, naming/metadata standards, and automated data quality checks with remediation playbooks.
• Publish certified datasets/SQL endpoints for BI; maintain source-level security (RLS/CLS) and refresh orchestration.
• Security & Identity: Entra ID RBAC, service principals, Key Vault secrets, private endpoints, cluster policies, auditing.
• Observability & Cost: Azure Monitor/Log Analytics telemetry, alerting, cost dashboards, autoscaling/Photon tuning.
• Collaborate with Marketing, Finance, Operations, and BI on priorities, dependencies, and change management.

Benefits

• Competitive Compensation ($145,000 - $155,000 based on experience)
• Bonus Eligibility based on performance metrics
• PTO: Unlimited with Supervisor partnership
• Health, Vision, and Dental plans for you and your family to choose from
• 401K Retirement Plan: The Company will match 30% up to the first 6% of yourcontributed amount
• Life Insurance, Short-Term and Long-Term Disability
• Special Program Options: FSA, EAP, Legal Services, and Identity Theft
• Working in a dynamic, collaborative, and fun environment
• Coached and supported career growth through Wrench University

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees