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Data Engineer
Business Needs Inc
- Calhoun, Georgia, United States
- Calhoun, Georgia, United States
À propos
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
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Compétences linguistiques
- English
Avis aux utilisateurs
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