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Specialist I - Data Science

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    9 - 12 Years
    1 Opening
    Mumbai, Pune


Role description

Role Overview

We are seeking a highly experienced Data Architect with over 10 years in IT and at least 4+ years in data architecture or principal data engineering roles. The ideal candidate will design, implement, and govern large-scale data platforms in cloud environments, ensuring performance, scalability, and security.

Key Responsibilities

  • Design and govern enterprise data architecture, including data lakes, data warehouses, data marts, and operational data stores (ODS).

  • Lead the implementation of cloud-based data solutions using AWS, Azure, or Google Cloud Platform (GCP).

  • Architect scalable data ingestion, transformation, and governance frameworks aligned with organizational data strategy.

  • Define data modeling standards and implement relational and NoSQL database solutions.

  • Develop and optimize modern data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).

  • Leverage Big Data and streaming technologies such as Apache Spark, Kafka, and Kinesis.

  • Establish data security, access control, and governance policies across the data ecosystem.

  • Collaborate with business and technology stakeholders to align data architecture with business goals.

  • Mentor data engineers and ensure best practices in data design and implementation.

Core Competencies

  • Strong communication skills to explain architectural concepts to both technical and non-technical audiences.

  • Strategic thinker with strong problem-solving and influencing skills.

  • Ability to translate business objectives into scalable data solutions.

  • Continuous learning mindset with adaptability to emerging data technologies (Cloud, GenAI, Streaming).

Education

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, or a related technical field.

Preferred Qualifications

  • Experience in UK financial services or pensions administration domain.

  • Background in product-centric or SaaS environments.

  • Knowledge of MLOps principles and architectures supporting machine learning and GenAI applications.

  • Relevant cloud certifications such as:

    • AWS Certified Data Analytics – Specialty

    • Azure Data Engineer Associate

    • Google Professional Data Engineer

Skills

Cloud,Data Architecture,Data Warehousing,Data Modeling


About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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