Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 1, 2026.
Job Description
Skill Set :
Microsoft Fabric
Total Experience :
8.00 to 16.00 Years
No of Openings :
1
Job Post Date :
28/10/2026
Job Expiry Date :
30/11/2026
Domain :
IT
Location :
ROCHESTER [United States]
Job Reference No :
4115165
Job Summary
Job Title: Senior Microsoft Fabric Lead Engineer Location: Rochester, Minnesota Mode: Remote Years of Experience: 10-15 Years
Job Summary:
We are seeking a highly skilled Data Engineer with extensive experience in data architecture, data modeling, and data integration. The ideal candidate will possess strong expertise in Microsoft Fabric, enabling them to design and implement robust data solutions that drive business insights and decision making. This role requires a proactive individual who can work independently in a remote environment while collaborating effectively with cross functional teams.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using Microsoft Fabric.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high quality data solutions.
- Implement data governance and security best practices to ensure data integrity and compliance.
- Optimize data storage and retrieval processes for performance and efficiency.
- Monitor and troubleshoot data pipeline performance, ensuring timely delivery of data to end users.
- Stay updated with the latest trends and technologies in data engineering and Microsoft Fabric.
- Document data architecture, processes, and workflows for knowledge sharing and compliance.
Mandatory Skills:
- Strong expertise in Microsoft Fabric, including data integration, data orchestration, and data transformation.
- Proficient in SQL and experience with relational databases (e.g., SQL Server, PostgreSQL).
- Experience with data modeling and data warehousing concepts.
- Familiarity with cloud platforms (e.g., Azure, AWS) and their data services.
- Strong analytical and problem solving skills.
- Excellent communication and collaboration skills.
Preferred Skills:
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of data visualization tools (e.g., Power BI, Tableau).
- Familiarity with programming languages such as Python or R.
- Experience with CI/CD practices and tools.
- Understanding of machine learning concepts and frameworks.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 10-15 years of experience in data engineering or a related role.
- Proven track record of successfully delivering data projects using Microsoft Fabric.
- Relevant certifications in data engineering or cloud technologies are a plus.
Salary:
Full-time: The pay range for this role is $120k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate
“AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates."
“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”

