Lead Data engineer

Axiom Software Solutions Limited; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A technology solutions firm is seeking a Data Engineering & Analytics Lead in the City of London. This role involves end-to-end ownership of Snowflake Data & Analytics solutions, requiring extensive experience in AWS platforms. The successful candidate will engage with clients to design technical proposals and ensure successful project delivery. With a focus on solutions and presentations, this position demands strong communication and management skills alongside a wealth of technical expertise.

Qualifications

• 13-18 years of overall Data and Analytics experience.
• Minimum 10+ years in AWS data platform including AWS services.
• Hands-on experience with Snowflake including DWH, ETL, and security.

Responsibilities

• Respond to client RFI, RFP documents with technical solution design.
• Create technical propositions based on customer requirements.
• Present technical solutions to customers and manage project deliveries.

Skills

AWS data platform experience

Snowflake architecture

Client engagement

Presentation skills

Python

Communication skills

Tools

AWS S3

Snowflake

Terraform

Kubernetes

Job description

Location and Hiring Type

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

Type of Hiring: Permanent/Contract

Role Overview

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.

Responsibilities

• 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.

Qualifications

• 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.