Infotree Global Solutions

Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with 8+ years of experience, focusing on Azure Databricks and Delta Lake. Contract length is unspecified, with an on-site requirement in South West England. Key skills include Apache Spark, SQL, and enterprise data integration.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#ADLS (Azure Data Lake Storage) #Data Architecture #Azure ADLS (Azure Data Lake Storage) #Schema Design #Azure SQL #PySpark #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #Azure #Spark (Apache Spark) #Azure Data Factory #MS SQL (Microsoft SQL Server) #Azure Databricks #Microsoft Power BI #Apache Spark #Storage #Scala #Databricks #Oracle #SQL (Structured Query Language) #Containers #Compliance #Delta Lake #SQL Server #BI (Business Intelligence) #Data Lake
Role description
Job Description Required Skills & Experience Must Have • 8+ years of data architecture experience with at least 3 years hands-on with Azure Databricks in production environments • Proven experience designing and implementing medallion architecture (Bronze / Silver / Gold) using Delta Lake on Azure Databricks • Strong hands-on experience with Unity Catalog — metastore setup, catalog and schema design, access controls, and governance policies • Experience configuring Azure Data Lake Storage Gen2 — containers, access control lists, lifecycle policies, and integration with Databricks • Hands-on experience with Microsoft Fabric — specifically Mirrored Azure Databricks Unity Catalog and Power BI connectivity to Databricks SQL Warehouses • Experience with enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones • Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks • Experience assessing and remediating partially built or vendor-abandoned data platform implementations • Proven ability to engage senior stakeholders — Architecture Council, CIO, CDO level — presenting technical findings in clear business language • UK-based with ability to travel to client sites (South West England) — onsite presence required particularly in Weeks 1–2 Highly Desirable • Experience in the utilities, water, or regulated infrastructure sector — understanding of operational data, compliance requirements, and safety-critical system considerations • Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion • Experience with Azure Data Factory or equivalent ETL/ELT tooling for enterprise source ingestion pipelines • Exposure to Delta Live Tables (DLT) for declarative pipeline management