Senior Data Engineer

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Role: Sr. Data Engineer

Woodbury, NY (OR) Calhoun , Georgia

NO Relocation Only Locals

Role Summary:

The Senior Data Engineer owns the design, implementation, and evolution of Company’s enterprise data

platform. This role is accountable for ETL pipelines, data warehouse and Lakehouse architecture, and

enterprise data modeling as Company transitions from an on-premises SQL environment to a modern cloud-

based analytics platform.

Company is in the process of establishing Microsoft Fabric as the future-state data platform. The Senior Data

Engineer will define standards, shape architecture, and lead the transition from existing on-premises SQL

stored procedures to a scalable, governed analytics environment.

This role is critical as Company modernizes its enterprise analytics capabilities, replacing legacy on-premise

SQL workflows with a scalable, governed cloud platform that will support future growth, advanced analytics,

and self-service BI

Core Responsibilities

• End-to-end ownership of data pipelines, models, and analytics architecture — from design through
  
  

production support

• Acts as the technical decision-maker for data platform standards and patterns
• Comfortable operating in environments with evolving requirements and incomplete data
• Ability to translate available data from pipelines into value-added analytics to the business’s benefit
• Expected to proactively identify business solutions, data gaps, quality issues, and architectural
  
  

improvements

• Design and implement the Microsoft Fabric Lakehouse and data warehouse, and lead the transition from
  
  

on-premises SQL-based solutions

• Develop and maintain ETL and ELT pipelines using Fabric Data Factory, SQL, and notebooks
• Ability to define and establish the semantic layer to enable servicing data to business resources for self-service visualizations
• Apply scripting or notebook-based approaches, including Python/R/etc. where appropriate, for data
  
  

transformation, automation, and data quality enforcement

• Integrate data from AS400 ERP, Salesforce, HubSpot, and other SaaS platforms
• Design analytical data models, fact and dimension tables, and curated data marts
• Implement CI/CD practices for data pipelines and analytics assets, enabling agile, reliable, and controlled
  
  

production deployments

• Operate in an Agile delivery environment
• Optimize platform performance, scalability, reliability, and cost
• Support and stabilize existing datasets and dashboards
• Drive Power BI adoption and define migration approach for legacy tools and standards
• Design and implement data quality checks, monitoring, alerting, recovery mechanisms, and governance
  
  

controls

• Maintain documentation for pipelines, models, and integration patterns
• Partner with IT and business stakeholders to translate requirements into data solutions
  
  

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
• 5 years of experience in data engineering, including enterprise data warehouse and analytics platforms
• Advanced SQL skills with strong analytical and enterprise data modeling experience
• Experience designing and operating data warehouses, lakes, or Lakehouse architectures in a cloud
  
  

environment

• Experience integrating ERP systems, CRM, and SaaS data sources
• Experience supporting BI tools, including Tableau (phasing out) and Power BI
• Strong communication skills with technical and business teams
  
  

Preferred Experience

• Azure Synapse, Data Factory, or Databricks
• Salesforce and HubSpot data models and APIs
• Data governance, quality frameworks, and access controls