Technology Architect

Overview

Contract Duration: 6 months

Location: London

Experience: Minimum 10 years (ideally 10–15 years in Data Engineering)

Must-Have Skills: PySpark, Databricks

Detailed Job Description

• Strong communication and client-facing skills with 10–15 years of experience in the Data Engineering space (PySpark, ADF, Databricks, SQL)
• Ability to understand client requirements and translate them into technical solutions
• Hands-on experience creating conceptual diagrams and developing data models
• Expertise in Medallion architecture using Azure Services
• Proficiency with Erwin for data modeling
• Ability to guide the data engineering team after requirement gathering using ADF, Databricks, Python, JSON, and YAML
• Skilled in preparing source-to-target mapping designs/documents
• Good team collaboration skills
• Strong understanding of dimensional modeling, normalization, data harmonization, and schema design
• Excellent communication, problem-solving, and technical project management abilities
• Experience deploying code artifacts using GitHub Workflows/Actions and CI/CD pipelines
• Knowledge of Log Analytics and KQL queries is a plus
• Familiarity with configuration settings using JSON files

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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