Data Engineering Manager at Vari

Coppell, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Warehousing, Data Governance, Data Quality, Azure AI, Machine Learning, Data Modeling, Salesforce, SAP, Microsoft SQL, AI Automation, Agile Development, Problem Solving, Communication, Team Leadership

Industry

Furniture and Home Furnishings Manufacturing

Description

Description About VARI Vari started by developing the world’s leading sit-stand desk converter to help a coworker with back pain, but now we’re so much more than a desk. We are flexible workspace solutions made simple and installed fast. We’ve shipped products to more than 120 countries, and our solutions are in 98% of Fortune 500 companies. SUMMARY Vari is looking for an experienced Data Engineering Manager to lead our data practice within our Technology Team. In this role, you will drive the transformation of our internal data platform—a critical foundation for our AI and automation strategy. You will partner with internal stakeholders to refine and execute our data strategy, vision, and roadmap to deliver the business insights, analytics, and AI-powered solutions required to scale our business. WHO YOU ARE This is a player-coach role on a lean, high-impact team. You'll lead one direct report while spending the majority of your time hands-on—building data pipelines, designing ETL processes, architecting data warehouse solutions, and enabling AI capabilities. We need someone who can think strategically about our data platform vision while rolling up their sleeves to deliver both traditional data engineering and cutting-edge AI solutions. If you're energized by solving complex data challenges that span from operational reporting to AI automation, this role offers the perfect balance. You must also be able to work on-site in Coppell, TX on a hybrid schedule. RESPONSIBILITIES Design, develop, and support high-quality data pipelines, ETL processes, data warehouse solutions, analytics, and reporting capabilities that serve both traditional business intelligence needs and AI/ML initiatives. Partner with stakeholders across the business to develop and operationalize our data vision, strategy, and roadmap—supporting both day-to-day business analytics and our enterprise AI strategy. Implement Azure AI solutions (OpenAI Service, AI Services, Machine Learning, AI Studio) to automate processes and enhance decision-making, while maintaining focus on core data engineering deliverables. Architect and implement data governance frameworks, data quality controls, and monitoring systems to ensure reliability and accuracy of data assets across all use cases. Lead and mentor one direct report, providing technical guidance and supporting their professional growth in modern data engineering and AI-adjacent technologies. Champion continuous process improvement, performance management, and metrics-driven results across all data engineering activities—from traditional BI and reporting to AI-enabled automation. QUALIFICATIONS Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline preferred. 7+ years of hands-on data engineering experience including ETL/ELT development, data warehousing, data modeling, master data management, data governance, and data quality, with proven ability to design and build production data platforms supporting both traditional analytics and AI/ML initiatives. Hands-on experience with Azure AI platform (OpenAI Service, AI Services, Machine Learning, AI Studio) and Azure Data Factory strongly preferred, or equivalent cloud AI platforms (AWS Bedrock/SageMaker, GCP Vertex AI). Experience working with Salesforce and SAP data solutions and analytics is a plus. Minimum 5 years hands-on Microsoft SQL experience required. Deep technical understanding of data governance, data quality frameworks, and data profiling concepts critical for AI accuracy and reliability. Familiarity with AI/ML concepts including feature engineering, data versioning, prompt engineering workflows, and responsible AI practices. Strong analytical and problem-solving skills, with ability to think strategically about data architecture while executing tactical implementations. Excellent communication and interpersonal skills, with ability to build strong relationships with both technical and non-technical stakeholders and translate AI/data requirements into actionable engineering plans. Proven ability to balance hands-on technical delivery with strategic thinking and team leadership in a small team environment. Curiosity and enthusiasm for emerging AI development tools and willingness to experiment with new technologies to improve team effectiveness. Experience working in Agile (e.g., Scrum, Kanban) development environments. Experience working for a retail company with both a B2B and B2C business is a plus. Why Vari? State of the art On-site Gym, spa-like locker room, and Chair Massage Pod Enhanced paternity / maternity / Adoption programs 401k and profit-sharing plan Personal time off / Volunteer time off Team building events on and off site Mentoring and career development Education reimbursement Wellness program and insurance premium discounts At-home work set-up

Responsibilities

Design and develop high-quality data pipelines and ETL processes while supporting analytics and reporting capabilities. Partner with stakeholders to refine and execute the data strategy and implement AI solutions.