Data & Analytics Engineering Manager

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.
- 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.

As part of your role you will:

- Manage team of 15+ resources including Professional services team, DataOps team, managed services teams.
- Deliver high-quality work to customers as part of consulting engagements that can be delivered through workshops, presentations, or solutions architecture designs.
- Work in close collaboration with other architects, technical consultants and professional services teams within Rackspace and customer’s teams
- Work with customers across multiple regions depending on customer locations.

** Please note that you must have full Singapore work rights to apply, we are not currently able to sponsor for this situation **

**Qualifications & Experience**:

- Highly technical and analytical, possessing 12 or more years of Datawarehouse and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security, and compliance experience, etc.
- You have some exposure on managing DataOps team, managed services teams along with Professional services team of 30+ resources.
- 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 OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure Synapse Analytics, PostgreSQL, CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MySQL, Neo4j, Cassandra, HBase.
- 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.
- Experience with one or more public cloud Data Analytics suite of services including, real-time streaming services, data processing services, SQL query engines, ETL services and visualization services.
- Required experience on one or more of AWS, Azure and Google Cloud Platform.
- Knowledge or hands-on experience with data visualization and/or data sciences.
- Track record of implementing cloud data services in a variety of business environments such as large enterprises and start-ups.
- Technical degrees in computer science, software engineering
- Hands on experience as a database, data warehouse, big data/analytics developer/administrator, or data scientist.
- Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps.
- Hands on experience leading large-scale global database, data warehousing and analytics projects.
- Cloud certifications such as AWS Solutions Architect, Developer, GCP Professional Data Engineer or Microsoft Data / AI certifications.

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