Job Type
Full-time
The OpportunityWe are investing in a multi-year modernization of how data, inventory, and business insights come together. The center of this transformation is a modernized data and operations hub. Your role will be to stand up a Microsoft Azure data warehouse (Fabric or Databricks) to give the business live billing, inventory, and KPI visibility. In parallel, we are centralizing our systems of record: extending Salesforce Service Cloud as the operational heart for projects and inventory, and introducing a modern WMS.
This hire will woen the technical planning and architecture behind that work. You will lead a small, hands-on existing engineering team and deliver a unified technical estate where Azure data and Salesforce + WMS work as one.
Position SummaryThe Director of Engineering (Data & Platforms) is a player-coach who designs, builds, and runs Essintial's core technical platforms. You are first and foremost an Azure Data and ELT specialist. You will deliver a governed Azure analytics layer (Microsoft Fabric or Databricks) that powers billing, operations, and executive decision-making, and unify the existing client-integration estate onto a single ELT pattern.
You will also lead the modernization of our operational data: centralizing inventory and project data in Salesforce and implementing warehouse management that scales across our national network. You inherit an established Azure integration estate, a decade of Service Cloud, a Senior Data Engineer already shipping, and a strategy on the path forward. You will set engineering cadence, and be accountable for outcomes the business can measure.
What You Will Lead (first 12-18 months) - Azure Data Warehouse. Build a Fabric or Databricks lakehouse (Medallion architecture) that ingests Salesforce, billing, field marketplaces, client systems, and operational sources. Deliver automated billing reconciliation, revenue accruals, and a trusted Gold layer that a semantic layer and Hex can sit on. This is the prerequisite for all modern automation at Essintial.
- Client integrations and ELT. Own the existing portfolio of client integrations. Standardize them onto a shared ELT pattern into the lakehouse so a new client is configuration and mapping, not a one-off pipeline.
- Salesforce and WMS modernization. (WMS experience very much preferred). Existing Salesforce infrastructure in Service Cloud will remain as the hub for projects, work orders, and people. Implement a modern WMS (Salesforce-native such as WAM / Axolt, or a standalone WMS with Salesforce and Azure integrations) covering receiving, pick/pack, kitting, shipping, serialized inventory, RMA, and multi-warehouse operations. Validate the approach on the depot floor, then execute cutover with a controlled migration.
- Business intelligence foundation. Pipelines and models that power business analytics platforms.
- Field productivity applications. Provide the data infrastructure to enable Technician check-in/out, AI-assisted proof-of-work review, and a path to an Essintial-owned field mobile app.
Essential Duties and Responsibilities- Lead the Azure data platform strategy: Design and operate the Fabric and/or Databricks environment (OneLake / ADLS, Data Factory, Service Bus, Functions). Join warehouse movements, client feeds, and Service Cloud contracts in a single governed Gold layer.
- Unify client ELT: Standardize the existing client integrations onto one landing, transform, and error-handling pattern. New clients reuse the platform.
- Own technical delivery of the modernization roadmap. Convert executive strategy into a prioritized backlog that ships on a regular cadence.
- Own the Salesforce WMS program: (WMS experience very much preferred). Lead data modeling, vendor selection, implementation, and cutover. Partner with Depot leadership on receiving, cycle counts, kitting, serialized controls, and audit readiness.
- Preserve Service Cloud as the operational hub for projects and dispatch. Model SOWs and deliverable templates as Salesforce data to avoid named-user field-service licensing traps.
- Manage the engineering team. Install planning, sprint, review, and release discipline.
- Direct vendors and implementation partners on time-boxed outcomes. Retain architectural ownership of both Azure and Salesforce.
- Replace manual reconciliations with API-level integrations across billing, inventory, technician records, and project status.
- Apply AI where it improves operations: image review at capture, structured extraction of contract rules, and natural-language status for PMs and executives.
- Own security, reliability, and cost across the technical environment (Azure governance and Salesforce sandbox/profile discipline).
- Report progress in operational terms: dock-to-stock, billable vs complete, sites live, serial accuracy.
#EES25
Requirements
Who We're Looking ForA builder who has led small engineering teams and shipped data platforms that operators use every day. You are an expert in Azure Data Engineering and ELT who has also extended Salesforce into a true operational system. You have delivered warehouse or inventory systems at scale (very much preferred) and are equally credible on the depot floor and in an executive review. You communicate clearly, close work, and treat Field, Depot, PMO, and Finance as customers of the platform.
Required Skills and Experience- Hands-on Microsoft Azure Data: 8+ years in data engineering, with deep production experience in Fabric, Databricks, or Synapse. Expertise in Medallion architecture, orchestration, and governance. Gold models that a semantic layer or analytics platforms can consume.
- ELT and Integration: Proven track record landing multi-client SaaS and API feeds into a shared ELT pattern (not one-off pipelines), plus Salesforce and enterprise API integrations.
- Salesforce in production: Experience with Service Cloud (or equivalent): data modeling, integrations, and release management for programs used by operations.
- WMS or inventory platform delivery: (Very much preferred). Experience with serialized parts, barcode receiving, multi-warehouse/3PL, and RMA.
- Leadership: 3+ years leading engineers in a player-coach model. Established delivery practice (backlog, sprint, review, release).
- Technical Stack: Microsoft Fabric or Databricks, ADF, Service Bus, and Functions. Strong SQL (T-SQL), Python/PySpark, and C# (.NET). KQL for platform operations.
- Excellent communication with warehouse, PMO, finance, and executive stakeholders.
Preferred- Microsoft Fabric and/or Databricks certifications.
- Hands-on experience with Salesforce-native WMS/ERP.
- Salesforce Revenue Cloud / order-to-fulfillment.
- Field-service or logistics domain: multi-site retail/restaurant, POS, audit-sensitive serials.
EducationBachelor's degree in Computer Science, Engineering, or equivalent professional experience. Demonstrated delivery of an enterprise data warehouse is required; WMS delivery is highly preferred.
Salary Description
120,000-150,000/yr
