Azure Data Fabric Architect

Hyderabad, Bengaluru April 9, 2026 Full Time

Role & responsibilities

Lead Data Strategy and Technical architecture for end-to-end solutions across fabric.
Develop data architecture and design patterns to process and store high volume data sets.
Design/build infrastructure and backend components/frameworks to support data and analytics products.
Analyse and suggest the data pipeline development framework using Fabric architecture.
Design and build products in collaboration with business partners and technology teams.
Improve data management practices (quality, governance, security, privacy)
Clean, prepare, and optimize data at scale for ingestion and consumption.
Analyse data and deliver scalable solutions to meet product feature requirements.

Preferred candidate profile

MS or advanced degree in Computer Science, Computer Engineering, Math, Statistics, Engineering, a related field, or practical experience is required.
Understanding of Semantic Layer Architectures to refine and optimize the technical environment for agility and performance.
5+ years of experience applying statistics or machine learning techniques development and design working on high availability systems.
Experience with one or more general purpose programming languages including but not limited to: Java, Python, JavaScript, Data Warehouse, and reporting frameworks, relational or NoSQL database experience, test automation.
Experience with ETL/ ELT and reporting/analytic visualization tools.
Advanced experience building high performance, cloud scalable, data lake solutions utilizing Azure Native Services
Expertise in relational SQL
Expertise in building automated data pipelines for cleaning, preparing, and optimizing data for ingestion and consumption.
Candidates are expected to be hypothesis driven with passion for data and should be experienced in making data-driven business decisions.
Candidates must be comfortable in manipulating and analysing complex, high dimensional data from varying sources to solve complex/ambiguous problems and should be able to communicate complex ideas/concepts in a simpler form to leadership or to partner teams/engineers.
Must be able to perform effectively as part of a project "team".