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Senior Manager

Victoria’s Secret & Co.

15 - 17 years

Bengaluru

Posted: 19/02/2026

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Job Description

Job Title: Senior Manager


The Senior Manager Data Engineering leads the strategy, design, and delivery of enterprisegrade data platforms, pipelines, and reporting solutions for VS&Co. This role oversees data engineering development teams and collaborates with business and technology leaders to enable topquality, scalable, and reliable data solutions.


Key Responsibilities

  • Plan and execute the enterprise data engineering roadmap in close partnership with business and technology partners.
  • Lead, mentor, and develop high-performing data engineering teams. Responsible for clear definition of objectives and development plans for team members.
  • Provide technical and delivery leadership in implementing scalable data engineering solutions on the Snowflake platform.
  • Lead the design and implementation of data visualization solutions on MicroStrategy and Looker.
  • Work closely with the platform team to drive performance tuning and cost optimization on the Snowflake platform.
  • Provide technical guidance in evaluating emerging tools and platforms.
  • Estimate, plan, execute and govern data initiatives. Communicate project status, risks and dependencies to stakeholders.
  • Work closely with business partners to translate business use cases into technical solutions.


Qualifications Education

  • Bachelors or masters degree in computer science/information systems


Required Skills

  • 1015 years of experience in data engineering, reporting & dashboards, data architecture, and data platform development.
  • 5+ years experience on Cloud platforms (Azure / AWS / GCP)
  • 10+ years designing data solutions
  • 5+ years Hands on experience on data platforms like Snowflake/DataBricks/Bigquery/Synapse
  • Expertise in SQL, Python, Kafka, ETL tools like Talend/Snaplogic
  • Hands on experience architecting and designing data solutions
  • Good knowledge on scheduling tools.
  • 10+ years strong experience in reporting and dashboarding. Hands on expertise in MicroStrategy/Power BI/Looker.
  • Exposure to AI/ML platforms and MLOps processes.
  • 5+ years experience in designing data solutions in the Retail domain.

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