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Global brand, metro location, but senior niche role reduces applicant density.
Requires deep big-data, data-platform, and cloud experience, limiting cross-industry transferability.
Explicit 14+ years, managerial experience, and mandatory big-data/cloud architecture requirements increase filter strictness.
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Lead and manage a team of data engineers building a next-gen data platform with Big Data, Data Warehousing, and real-time data movement.
Architect and oversee scalable, robust data platform infrastructure, including cloud-native data ingestion and analytics solutions.
Collaborate with stakeholders and cross-functional teams to deliver AI-integrated data solutions driving business value.
14+ years in data engineering with at least 2+ years in leadership or managerial roles.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Proven experience in Big Data processing, Data Warehousing, real-time data pipelines, SQL and NoSQL databases.
Deep exposure to Azure and AWS cloud platforms; experience with CI/CD tools like Azure DevOps or Jenkins.
Experienced in leading large engineering teams with a track record of delivering complex data platform solutions.
Strong architectural background in building scalable, high-performance data systems including data lakes and pipelines.
Technically proficient in integrating AI and advanced analytics into data engineering processes and collaborating with data science teams.