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Tier-1 employer and metro Delhi location increase competition, though role seniority and specialization moderate density.
Strong technical data architecture skills transfer across industries, though governance and enterprise transformation add domain sensitivity.
Explicit 12–15 years, deep technical requirements, and certifications make filters highly strict.
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Lead architecture or engineering teams in designing and implementing enterprise-scale data architectures.
Manage stakeholder relationships and influence senior leadership to drive strategic decisions in enterprise transformation programs.
Design and oversee cloud-based data platforms and modern data warehousing/lakehouse solutions with strong emphasis on data modeling, governance, and security.
12–15 years of experience in Data Engineering, Data Architecture, or Enterprise Data Management.
Strong expertise in cloud platforms (AWS, Azure, or GCP) and modern data warehouse/lakehouse technologies (Snowflake, Databricks, BigQuery, or Redshift).
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
Base location: Delhi. Work Experience Required: 12–15 years in relevant domains.
Experienced leader capable of managing teams and complex enterprise data architecture initiatives.
Proficient in strategic stakeholder management and driving enterprise transformation projects.
Deep technical knowledge spanning cloud platforms, data modelling techniques, and data governance frameworks.