Sr. Data Engineer

Role: Sr. Data Engineer

Client: Stanton Carpet

Rate: 150k

Location: 2 locations-one is in Woodbury NY(Long Island) the other is in Calhoun GA ( For the first 3-6 months this is on-site (Full time) Followed by minimally 3 days on site) no relocation-

Duration: Full Time

Visa: USC and GC

Candidates must have active LinkedIn And Must have active LinkedIn.

Focus: Microsoft Fabric ETL and Enterprise Data Warehouse.

Must have stable work history- this is a permanent job- No career consultants.

Role Summary

The Senior Data Engineer owns the design implementation and evolution of Companys 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 businesss 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

Bachelors 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