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The ideal candidate will have strong expertise in data lakes, cloud platforms, ETL/ELT pipelines, and modern data architecture while managing technical teams and client engagements from pre-sales through project delivery.\n\nKey Responsibilities:\nLead the design and implementation of scalable cloud-based data engineering solutions and data lakes.\nDrive pre-sales activities, including client discussions, solution design, technical proposals, and Proof of Concepts (PoCs).\nDesign secure and scalable data storage architectures using AWS, Azure, or GCP.\nBuild and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies.\nDevelop efficient data transformation and processing workflows using serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions.\nImplement data governance, security, and data quality frameworks.\nCollaborate with data scientists, BI teams, and business stakeholders to enable reliable 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managing technical teams and delivering projects from pre-sales through implementation.\nExcellent communication and stakeholder management skills.\n\nPreferred Qualifications:\nExperience with AWS Lake Formation, Azure Purview, or Google Data Catalog.\nCloud certifications (AWS, Azure, or GCP).\nExperience with CI/CD pipelines and DevOps practices.\nSkills\nAWS, Azure, Data Engineering, Data Lake, Databricks, ELT, ETL, GCP, Google Cloud Platform, Spark","description_format":"text","description_chars":2596,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & 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