Lead Data engineer

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

Type of Hiring: Permanent/Contract

Data Engineering & Analytics Lead at Zensar takes end-to-end ownership of Snowflake Data & Analytics solution design and practice development.

This role is not just a Snowflake architect, but requires experience with RFP business – 50% solutioning/technical & 50% delivery.

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• Responding to client RFI, RFP documents with deep and excellent technical solution design including cost estimates.
  
• Understanding customer requirements and creating technical proposition.
  
• 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 teams as needed.
  

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• 13-18 Years of overall Data and Analytics experience.
  
• Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOps.
  
• Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (metadata/business catalogs).
  
• 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.
  
• Ability to engage with principal data architects of client stakeholders.
  
• Excellent presentation and communication skills. This role will require regular/frequent client presentation, presales discussions with group of client stakeholders and influencing them with our solutions.
  
• Experience of hands‑on working on AWS Cloud Data Platforms. At least 2 certifications in AWS Data/analytics/AI stack is mandatory.
  
• Expertise in hands‑on Snowflake including DWH, ETL, security, and metadata aspects. SnowPro certification is desirable.
  
• Experience with related/complementary open‑source software platforms and languages (e.g. Java, Python, Scala).
  
• Understanding of AWS Bedrock, AI services and Snowflake Cortex services implementation life cycle, latest tools is desirable.
  
• Strategies and develop IP/solution assets, accelerators, frameworks.
  
• Engage with partners AWS and Snowflake counterparts.
  
• Strong written, verbal, and presentation communication skills.
  
• Be able to work with customers independently.
  
• Excellent communication skills interviewing, preparation and delivery of presentations and reports.