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Tier-1 brand and metro location increase competition, but seniority and domain specialization reduce density.
Manufacturing planning domain requirement raises industry specificity despite transferable data engineering skills.
Explicit years, management, cloud, and manufacturing domain requirements make filters stringent.
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Lead and manage a team of data engineers focused on big data and cloud data warehouse solutions, primarily on Snowflake and GCP.
Accountable for team performance management, coaching, career development, and succession planning.
Drive design, development, deployment, and operational support of advanced data engineering and AI-powered solutions aligned with manufacturing and planning business needs.
10+ years of experience in developing, delivering, or supporting big data engineering and advanced analytics solutions.
6+ years of experience managing or leading data engineering teams.
4-5 years of hands-on experience building cloud data solutions in GCP or other cloud platforms; proficient in Python programming.
Bachelor's degree in Computer Science, MIS, or related field.
Experienced leader capable of aligning multi-functional technical teams with business objectives in manufacturing planning and scheduling domain.
Strong technical background in cloud data architectures, data integration, and operational data solution lifecycle management.
Comfortable engaging with both technical and management stakeholders, with demonstrated ability to manage team growth and operational escalations.