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Unisys

Cloud (Azure) Data Architect

Posted 19 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Data Architect is responsible for shaping data capabilities, overseeing data models, implementing governance, collaborating with teams, and ensuring strategic architectural standards on Azure and Databricks.
The summary above was generated by AI

What success looks like in this role:

The candidate's responsibilities are centred on designing and influencing the platform's core data capabilities. This includes:

  • Strategic Guidance & Architectural Standards: Go beyond execution to help shape the platform’s future. Advise on industry trends (e.g., Lakehouse Architecture, Unity Catalogue integration), translate business needs into technical requirements (e.g., compliance with GDPR/NIST frameworks), and recommend new tools and methods for competitive advantage.

  • Manage and Drive Platform Maturity: Actively investigate, scope, and design new capabilities (e.g., a business-facing data catalogue). Define and refine architectural standards for Databricks and the wider Azure ecosystem.

  • Design and Implement Shared Data Models: Design and oversee the development of data models and metadata systems, including conceptual, logical, and physical data models for our core enterprise entities.

  • Collaboration & Mentorship: Work with business stakeholders and technical teams to balance innovation with operational constraints. Actively collaborate on defining the data platform roadmap and mentor internal teams to promote best practices.

  • Implement a "Governance-by-Design" Culture: Work with business and technical stakeholders to embed data governance and policy controls through automation and design. Provide L3 support for the Data Platform as a subject matter expert.

#LI-SP2

You will be successful in this role if you have:

To be successful, the candidate must demonstrate deep, hands-on experience in the following areas:

  • Data-Centric Solutions Architecture: Expert-level knowledge of data solutions design, including the ability to apply architectural standards for platforms like Databricks and Azure. This includes hands-on experience in selecting and implementing tooling that meets strategic and business needs.

  • Data Modelling: Expert-level knowledge of data modelling from conceptual to physical design. Proven ability to create and document logical data models and entity relationship diagrams.

  • Data Governance & Strategy: Strong understanding of data governance principles, data lifecycle management, and how to create and implement data strategies that align with business objectives.

  • Cloud and Data Ecosystems: Deep, hands-on experience designing and managing data architectures on Microsoft Azure, with a proven ability to work with core services like Databricks, Azure Data Factory, Unity Catalog, and Azure Data Lake Storage.

  • Systems Thinking: Ability to think through complex system interactions, design for failure, and document architectural decisions. This includes a comprehensive understanding of how various technologies and platforms interconnect.

  • Continuous Delivery and Modern Standards: Knowledge and experience in delivering systems built to modern standards, including all of the rigour required to enable continuous delivery/deployment.

  • Agile Team Collaboration: Experience as an integral member of a self-managing agile team, contributing to backlog grooming, sprint planning, and retrospectives.

  • Communication and Interpersonal Skills: Excellent verbal and written communication skills. The candidate must be able to articulate complex technical concepts clearly to diverse audiences. As a remote-first role involving significant mentoring, the ability to build strong collaborative relationships in a distributed environment is non-negotiable.

  • Specific experience with data governance tools like Microsoft Purview.

  • Experience with data contract enforcement.

  • Experience with building and operating data platforms specifically.

  • Knowledge of data quality standards and data stewardship processes.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4).  US job seekers can find more information about Unisys’  EEO commitment here.

Top Skills

Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Microsoft Purview
Unity Catalog

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