Senior Data Engineer

ComputerPeople Staffing
Williamsville, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 125K

Job location

Williamsville, United States of America

Tech stack

Geographic Information Systems
Data analysis
Audit Trail
Cloud Computing
Information Systems
Data Architecture
Data Validation
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Data Systems
Data Warehousing
Relational Databases
Database Queries
Document-Oriented Databases
Middleware
Data Intelligence
Microsoft SQL Server
Oracle Applications
Software Architecture
Power BI
SAP Applications
Oracle Fusion Middleware
Data Streaming
Build Management
Microsoft Fabric
Oracle Service Cloud
Information Technology
Data Lineage
Enterprise Integration
Api Design
Oracle Integration
Oracle Cloud Infrastructure
Data Pipelines

Job description

Our client is building their enterprise data engineering capability from the ground up - and this is the role that starts it. As the company executes a full transformation to Oracle Cloud Fusion, this Senior Data Engineer will be the founding architect of a centralized data platform designed to unify data across financial, operational, customer, HR, asset, and supply chain domains.

This is not a maintenance role. It requires someone who can design and build a modern, cloud-integrated data ecosystem with significant autonomy - and who has the vision and leadership to grow a data engineering team around them. The right candidate is a hands-on builder who is equally comfortable making architectural decisions and writing the pipeline code to execute them.

Our client will consider strong data engineering generalists willing to develop hands-on expertise in Oracle Fusion Data Intelligence (OFDI).

What You'll Do

Data Platform & Pipeline Engineering

  • Serve as the primary technical owner of Oracle Fusion Data Intelligence (OFDI) - standing up, configuring, and evolving the platform as the enterprise analytics hub
  • Design and build scalable ETL/ELT pipelines that ingest data from multiple source systems (SAP, on-prem Oracle, SQL Server, GIS, and others) into a centralized data warehouse
  • Develop and maintain integrations using Oracle Integration Cloud (OIC) as the enterprise middleware platform
  • Transition the organization away from legacy flat file integrations toward API-based, event-driven data flows
  • Implement data quality checks, reconciliation processes, and monitoring controls to support auditability and regulatory compliance

Enterprise Reporting & Analytics

  • Curate trusted, analytics-ready datasets for consumption by downstream BI tools including Power BI and Oracle Analytics Cloud
  • Build and maintain semantic data models and data mappings that support self-service reporting and enterprise analytics initiatives
  • Collaborate with application and business teams to define data requirements across operational, financial, regulatory, and customer domains

Data Governance & Architecture

  • Establish data governance frameworks, data lineage documentation, and data quality standards from the ground up
  • Document data flows, technical designs, and integration specifications to ensure long-term maintainability
  • Partner with enterprise architecture and application teams to align data solutions with enterprise standards
  • Evaluate and recommend supplemental data tools - including platforms such as Microsoft Fabric - as platform needs evolve, with significant input into tooling decisions

Team Leadership

  • Operate with a high degree of autonomy in a self-directed capacity - minimal technical oversight exists above this role
  • Identify gaps in the team's future capability needs and contribute to hiring decisions as the data engineering function grows

Requirements

  • 7+ years of professional experience in data engineering, data integration, or analytics engineering roles
  • Strong SQL skills and hands-on experience with relational database platforms (Oracle, SQL Server, or similar)
  • Demonstrated experience designing and building ETL/ELT pipelines and data architecture for enterprise environments - both relational and cloud-based
  • Experience pulling from multiple, disparate source systems (ERP, CRM, CIS, asset management, or similar) into a unified data model
  • Familiarity with cloud-based enterprise platforms and hybrid on-prem/cloud architectures
  • Self-directed with strong instincts for data quality, auditability, and governance
  • Knowledge of enterprise integration and data architecture design patterns
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (official transcripts required), * Do you have experience building and optimizing ETL pipelines?
  • How many years of Data Engineering experience do you have?
  • Do you have experience with ERP Systems?

Education:

  • Bachelor's (Required)

Benefits & conditions

4.84.8 out of 5 stars Williamsville, NY 14221 $100,000 - $125,000 a year - Full-time, Pulled from the full job description

  • Health insurance
  • Retirement plan
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance, * Annual Bonus Program
  • Low cost medical, dental premiums
  • Very generous Paid Time Off
  • 401K match plus additional Company Funded Retirement Savings Account (even if you don't contribute to 401K)
  • Leadership training program
  • Management that is dedicated to your career success and flexible when life happens
  • Positive/collaborative work culture

Pay: $100,000.00 - $125,000.00 per year, * 401(k) matching

  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Health savings account
  • Paid time off
  • Retirement plan
  • Vision insurance

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