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Tier-1 brand and metro location increase competition, but seniority and specialization moderate applicant density.
Deep data engineering, streaming, and cloud expertise required, limiting cross-industry transferability.
Explicit seniority, managerial experience, and mandatory cloud/data stack make shortlisting highly strict.
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Lead and grow a high-performing data engineering team responsible for building foundational analytical data products powering company-wide decision-making.
Own delivery of complex, multi-stream projects collaborating with cross-functional stakeholders to define data strategies and improve data quality and reliability.
Drive technical and architectural decision-making, inspire innovation, and operational excellence within own and other data engineering teams.
12-16 years total experience with 6-8 years as individual contributor in Data Engineering or related Software Engineering role.
Minimum 4 years experience managing data or related software engineering teams.
Bachelor's or Master's degree in Computer Science or related field.
Experience with large-scale, high-performance data processing systems (batch and streaming) and public cloud platforms (AWS, DynamoDB, ElasticSearch, S3, Databricks, Spark).
Experienced leader with demonstrated ability managing and scaling agile data engineering teams on complex, multi-stakeholder projects.
Strong technical expertise in data architecture, engineering excellence, and cloud-based large-scale data processing.
Effective communicator skilled at cross-team collaboration and talent development within fast-growing data organizations.