Job Description
Role OverviewWe are seeking a highly experienced leader for our Data Engineering Center of Excellence (CoE). This role requires a strong blend of strategic leadership, hands-on expertise, and the ability to build differentiators in the data space. The VP will be responsible for establishing and scaling our Data Engineering CoE, developing cutting-edge capabilities, and contributing to strategic customer engagements and proposals.Key Responsibilities Lead Data CoE Build capabilities/ differentiators in data engineering field including Data migration, Data modernization and Data governance Define differentiating solutions for Data related RFPs/ proposals Build Data Engineering practice with strong foundation Customer discussions Drive the vision, strategy, and execution of the Data CoE to position the organization as a thought leader in the industry. Skills & Experience Required 18+ years of overall IT experience, with a minimum of 5 years dedicated to data engineering and related areas. Strong hands-on experience in Azure and AWS data ecosystems, including services like: Azure Data Factory, Synapse, Databricks, Purview, AWS Glue, Redshift, S3, Lake Formation, etc. Proven track record of delivering large-scale data migration and modernization projects. Proficiency in Python for data processing, scripting, and automation. Working knowledge of AI/ML concepts and understanding of their impact on modern data architectures and governance. Experience in building or contributing significantly to data or analytics practices within a consulting or services organization. Strong leadership, communication, and stakeholder management skills. Preferred Qualifications Bachelor’s or master’s degree in computer science, Data Engineering, or related fields.
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