CloudIngest

Senior Service Delivery Manager

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Service Delivery Manager in San Jose, CA (Hybrid) with a contract length of "unknown." The pay rate is "unknown." Requires 10+ years of experience in data projects, including data warehouse implementations, cloud migrations, and strong skills in Hadoop, SQL, and data governance.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
Unknown
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๐Ÿ—“๏ธ - Date
January 27, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
Hybrid
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
San Jose, CA
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๐Ÿง  - Skills detailed
#Scala #AWS (Amazon Web Services) #Data Governance #Data Warehouse #Hadoop #GCP (Google Cloud Platform) #Leadership #Migration #SQL (Structured Query Language) #Security #Documentation #Compliance #Deployment #BI (Business Intelligence) #Data Engineering #Cloud #Azure #Data Analysis
Role description
Hi, Send your resume to Dilip@cloudingest.com Title: Service Delivery Manager Location: San Jose, CA (Hybrid) Looking only W2 (GC or USC) Client: Direct Must-Have Skills/Experience :: Data engineer/Developer with Hadoop, Hive/SQL etc and became project manager /Delivery manager with strong tech in Data area would be the ideal match. Need a Service Delivery Manager who should have experience in projects like ยท Data warehouse or lake implementations. ยท BI and reporting platform rollouts. ยท Migration of legacy data systems to the cloud. ยท Data governance framework deployment ยท Strong understanding of data platforms (e.g., SQL, data warehouses, cloud technologies like AWS, Azure, GCP). ยท Should have more than 10+ years of experience and have extended experience in running projects end to end. Requirements : Project Planning & Execution ยท Define project scope, goals, and deliverables in collaboration with stakeholders. ยท Develop and manage detailed project plans, timelines, and resource allocations. ยท Track progress and ensure timely delivery of project milestones. Team & Stakeholder Management ยท Coordinate cross-functional teams including data engineers, data analysts, business intelligence, and product teams. ยท Communicate effectively with internal and external stakeholders, ensuring alignment and transparency. ยท Facilitate meetings, provide updates, and manage expectations throughout the project lifecycle. Risk & Issue Management ยท Identify potential risks and develop mitigation strategies. ยท Resolve project issues and conflicts as they arise, escalating when necessary. Quality & Compliance ยท Ensure data governance, security, and quality standards are adhered to. ยท Oversee testing, validation, and sign-off processes for data products and solutions. Reporting & Documentation ยท Maintain clear documentation of project plans, decisions, risks, and lessons learned. ยท Deliver regular status reports and dashboards to senior leadership and stakeholders. Thanks, Dilip Kumar