Senior Engineer Data Services

Must Have Technical/Functional Skills

• PySpark
• Data Warehouse
• Data Concepts & Data Modelling
• Big Data Platforms
• Data Engineering
• Azure Data Factory
• Continuous Integration and Continuous Delivery (CI/CD)
• Communication Skills and Cross Team Collaboration Skills
• Azure DevOps
• Git
• Advanced SQL

Roles & Responsibilities

• Collaborate with business stakeholders to understand data, analytics, and reporting requirements and translate them into scalable technical solutions.
• Design and develop end‑to‑end data solutions using Microsoft Fabric, Azure Data Factory, OneLake, Lakehouse, and Data Warehouse, including scalable data pipelines using PySpark, SQL, and Medallion Architecture (Bronze, Silver, Gold) with Delta Tables.
• Build and optimize Lakehouse and Data Warehouse solutions for reporting, analytics, and AI workloads.
• Define data models, data quality standards, governance, security, and performance‑optimization strategies.
• Provide technical consulting and best practices for Microsoft Fabric adoption, migration, and modernization initiatives.
• Design and implement customer data platform (CDP) solutions, including customer profile unification, identity resolution, audience segmentation, and real‑time data activation using Hightouch and Braze.
• Collaborate with cross‑functional teams—data engineers, architects, analysts, and business stakeholders—to deliver high‑quality data solutions.
• Support CI/CD implementation, code reviews, testing, deployment, and production support using Azure DevOps and Git.
• Prepare technical documentation, solution designs, and implementation guidelines.
• Stay current with Microsoft Fabric, Azure data technologies, and industry best practices to drive continuous innovation.

Generic Managerial Skills (if any)

• Hightouch
• Braze
• Customer Data Platforms (CDP)
• Microsoft Power BI
• PL/SQL
• Prior experience with Threat Modelling and SDL Assessments

Specific Requirements

• Heavy customer‑facing experience.
• Ability to work in an agile manner with customers and stakeholders.
• Strong analytical skills.
• Excellent troubleshooting and problem‑solving abilities.
• Capability to thrive in a fast‑paced, agile environment.
• Experience working within a geographically dispersed team and flexibility for coordinating between teams.
• Excellent communication skills; proactive communication with partner teams to solve problems.
• Good presentation skills.

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: medical & health, dental & vision, disability planning & insurance, pet insurance plans
• Family Support: maternal & parental leaves
• Insurance Options: auto & home insurance, identity theft protection
• Convenience & Professional Growth: commuter benefits, certification & training reimbursement
• Time Off: vacation, sick leave, holidays
• Legal & Financial Assistance: legal assistance, 401(k) plan, performance bonus, college fund, student loan refinancing

Pay

Salary Range: $80,000 – $115,000 a year