Lead Data engineer

Location: Reading/London, UK (1-2 days/week on-site)

Type of Hiring: Permanent/Contract

Data Engineering & Analytics Lead at Zensar takes up end to end ownerships of Snowflake Data & Analytics solution design and practice development. This role is not just a Snowflake architect, but also requires experience with RFP business - 50% solutioning/technical & 50% delivery.

Key responsibilities include:

• Responding to client RFI, RFP documents with deep and excellent technical solution design including cost estimates.
• Understanding customer requirements and creating technical propositions.
• Creating proactive proposals by understanding customer business priorities, and technology landscape.
• Contributing to technical project roadmaps, etc. required for successful execution of projects leveraging Technical Scoping & Solutioning approach.
• Building Solution roadmap & strategy for internal DE&A platform.
• Leading analyst briefings and presentations
• Presenting the technical solution to customers and RFP defense
• Managing all aspects of technical solutions development and ensuring successful project deliveries.
• Developing best practices as & when needed.
• Estimating effort, identifying risk and providing technical support whenever needed.
• Demonstrating the ability to multitask and re-prioritizing responsibility based on dynamic requirements.
• Leading and mentoring various practice competency practice teams as needed.

1. 13-18 Years of overall Data and Analytics experience with
2. Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight, and AWS MLOPS
3. Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog, and data governance (meta data/business catalogs).
4. Knowledge of at least one of the following technologies/methodologies will be an additional advantage: Python, Streamlit, Matillion, DBT, Atlan, Terraform, Kubernetes, Data Vault, Data Mesh
5. Ability to engage with principal data architects of client stakeholders
6. Excellent presentation and communication skills. This role will require regular/frequent client presentation, presales discussions with a group of client stakeholders, and influence them with our solutions.
7. Experience of hands-on working on AWS Cloud Data Platforms. At least 2 certifications in AWS Data/analytics/AI stack is mandatory
8. Expertise in hands-on Snowflake including DWH, ETL, security, and meta-data aspects. SnowPro certification is desirable.
9. Experience with related/complementary open-source software platforms and languages (e.g., Java, Python, Scala)
10. Understanding of AWS Bedrock, AI services, and Snowflake Cortex services implementation life cycle, latest tools is desirable
11. Strategies and develop IP/solution assets, accelerators, frameworks
12. Engage with partners AWS and Snowflake counterparts
13. Strong written, verbal, and presentation communication skills
14. Be able to work with customers independently.
15. Excellent communication skills interviewing, preparation, and delivery of presentations and reports