Data Architect

KPI Partners · Analytics & BI Consulting · Data Engineering & Migration Services · Bachelor's Degree · Python · SQL · Power BI · ETL/ELT · 2 months ago

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Salary

≈ $30k – $56k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Architect · 15+ years exp

First seen by Alion on Sep 11, 2026.

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KPI Partners

KPI Partners is a US based IT company that provides strategic guidance and technology systems for clients wishing to solve their most complex and interesting business challenges involving cloud applications and big data.

kpipartners.com · Bengaluru · London · Hyderabad · Pune · Oakland · Data Engineering & Migration Services · Analytics & BI Consulting · 201-500 employees · Est. 2006

Tech stack of KPI Partners

Responsibilities:

Design and implement effective data architectures using MS Fabric to meet organizational data needs.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Ensure the integrity, security, and availability of data across various platforms and systems.
Develop and maintain data models, data flow diagrams, and data architecture documentation.
Optimize data storage and retrieval processes to enhance performance and scalability.
Stay updated with industry trends and emerging technologies related to data architecture and MS Fabric.
Provide guidance and mentorship to junior team members on data architecture best practices.
Troubleshoot and resolve data-related issues promptly.

Requirements:

Skills to Evaluate: Fabric, Power BI, PySpark, Python, SQL, Overall Fitment.
Experience: 15 to 20 Years.
Bachelor's degree in computer science, information technology, or a related field.
Proven experience as a data architect with a strong focus on MS Fabric.
Proficiency in data modeling, ETL processes, and data warehousing concepts.
Familiarity with cloud computing platforms and big data technologies.
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication and collaboration abilities.
Relevant certifications (e. g., Microsoft Certified: Azure Data Engineer) are a plus.

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