Azure Data Engineer Senior

Role Overview

The Senior Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ingest diverse data sources, on distributed compute, real-time streaming, and dimensional modeling, combined with strong Agile delivery practices and leadership in guiding junior developers. Experience with GenAI technologies is increasingly important as the organization evolves toward intelligent data products.

Work Arrangement

This is a HYBRID office based position working in our Ellis Preserve office located in Newtown Square, PA. Core office days are Tuesday, Wednesday, and Thursday.

Responsibilities

• Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage

• Pipeline Development: Build robust ETL/ELT pipelines for batch and streaming workloads using PySpark and SQL, ensuring fault tolerance, schema evolution handling, and idempotency

• API Ingestion: Implement reliable API data ingestion patterns including authentication, pagination, rate limit handling, retries, and schema mapping

• Real time Integration: Design and operate event driven ingestion and processing using Event Hubs and Kafka, and integrate CDC solutions using HVR

• Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets

• DevOps & CI/CD: Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and repeatable deployments across environments

• Code Quality & Mentorship: Perform code reviews, enforce coding standards and best practices, and mentor junior developers to raise team capability

• Gen AI Enablement: Apply Gen AI knowledge to accelerate development (code generation, data documentation, prompt engineering for data tasks) and to integrate AI driven data products where applicable

• Stakeholder Collaboration: Work with product owners, data scientists, analysts, and architects to translate business requirements into prioritized user stories and deliverables in Agile sprints

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Identify and tackle issues concerning data management to improve data quality

• Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage

Education And Experience

• Master’s degree in computer science, Information Systems, Software Engineering

• Technical: Hands on experience with Azure Data Factory (6+ years), Azure Databricks (6+ years), HVR (3+ years), Kafka (5+ years), Event Hubs (3+ years), Snowflake (5+ years), Azure Data Lake Storage, PySpark (10+ years), and SQL (12+ years)

• Modeling: Strong expertise in dimensional modeling, SCD implementation, and data warehouse best practices

• Agile Delivery: Proven experience delivering data projects in Agile (Scrum or Kanban) teams

• DevOps: Practical experience with Azure DevOps for CI/CD, branching strategies, and pipeline automation

• Performance: Demonstrated ability to profile and optimize Databricks jobs and large scale data processing workloads

• Integration: Experience ingesting data from REST APIs and external systems, handling schema drift and error handling

• Leadership: Track record of conducting code reviews, providing technical guidance, and mentoring junior engineers

• Communication: Clear communicator able to present technical tradeoffs to technical and non technical stakeholders

Other Skills

• Problem solving: Analytical approach to diagnose performance and data quality issues

• Collaboration: Strong team player who partners effectively across product, analytics, and platform teams

• Mentorship: Patient, constructive coach who elevates code quality and engineering practices

• Adaptability: Comfortable with shifting priorities and iterative delivery in fast moving environments

Our Comprehensive Benefits Package

• Flexible work solutions including remote options, hybrid work schedules

• Competitive pay

• Paid time off including holidays and volunteer events

• Health insurance coverage for you and your dependents on Day 1

• 401(k)

• Tuition reimbursement and more