Delivery Manager Data Analytics

Delivery Manager Data Analytics - (GCP - Google Cloud Platform)
India - Gurgaon /Public Cloud - Leadership – Leadership - Public /Full - Time/ Hybrid

JOB TITLE:
Senior Manager, Data Services Delivery

BUSINESS UNIT:
Rackspace Applications and Data Services

FUNCTION:
GSS - Data Services PRIMARY SKILLSET: GCP (Architect Level)

JOB DESCRIPTION:

Primary objectives:
• Work with customers and the wider Rackspace organizations on re-thinking and re-designing IT Data landscapes using cloud-native technologies
• Excellent technical architecture skills, design and deliver innovative Proof of Concepts for customers.
• Support with the enhancement of delivery capabilities across the India delivery teams
• Build cloud data solutions, big data platform services, serverless architectures, Hadoop ecosystem, DW/DM, NoSQL databases, analytics services on public cloud platforms and security.
• Design and write excellent, fully tested code to build ETL /ELT data pipelines, BI models and dashboard and on a public Cloud platform.
• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS, Azure, GCP, Snowflake platforms
• Implement product features and refine specifications with our Data scientists, Data Analysts and Data Architects
• Lead and deliver workshops, ideation and strategy sessions for customers working to solve their business use cases with innovative technology solutions
• Evangelize the cloud-native paradigm through the delivery of blogs, customer presentations and public speaking engagements.
• Mentor and train other architects/Engineer within the wider Rackspace community on modern Big data and cloud-native Data Technologies
Basic Qualifications :
• Proven experience in managing high performing teams as a direct line manager. You have experience in managing professional services and DataOps teams of 30+ resources.
• Highly technical and analytical, possessing 15 or more years of Datawarehouse and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security, and compliance experience, etc.
• Minimum of 5 years of experience in architecture of modern data Warehousing platforms using technologies such as Big Data and Cloud.
• Self-starter, highly aggressive and motivated to provide the highest possible level of responsiveness and performance from a team of people.
• Large scale design, implementation, and operations of Lakehouse and Data mesh architectures using 1st party services on Azure / AWS / GCP.
• Experience working within an agile development process (Scrum, Kanban, etc)
• Familiarity with CI/CD concepts
• Strong verbal and written communications skills are a must, as well as the relationship-building skills to work effectively across internal and external organizations and virtual teams.
• Knowledge or hands-on experience with data engineering and analytics (data visualization and/or data science)