Data Architect

🕒 June 18

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Integrella

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Integrella is a specialist IT consultancy founded in 2007 that focuses on enterprise data integration and product engineering. The company provides API integration, data migration, middleware, digital product development, UI/UX design, long-term support, and AI Co‑Pilot enablement services to organizations across sectors such as healthcare, financial services, education, and retail. With offices in the UK, India, and Dubai and a global team of integration and engineering experts, Integrella works primarily with other businesses and large enterprises to modernize systems, unify data, and embed AI into existing workflows.

📋 Description

• Define and own the enterprise data architecture strategy, standards, principles, and technology roadmap across multiple business domains • Architect scalable, secure, cloud-native data platforms for reporting, analytics, AI, and machine learning workloads • Design and oversee Data Lake, Lakehouse, and Data Warehouse solutions using Azure and equivalent cloud data platforms • Lead adoption and architecture of Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Pipelines, Direct Lake, Real-Time Intelligence, and Semantic Models • Define batch, streaming, event-driven, and real-time data ingestion strategies • Design modern data architectures including Medallion, Delta Lake, Data Vault 2.0, dimensional modelling, and canonical data models • Establish metadata management, data governance, lineage, classification, and data cataloguing • Architect data integration for ERP, CRM, HR, Finance, and operational systems • Develop data quality, validation, reconciliation, and observability frameworks • Define standards for Power BI Semantic Models, Direct Lake, Row-Level Security, data sharing, and BI governance • Design secure, resilient platforms focused on security, privacy, performance, disaster recovery, and cost optimisation • Collaborate with Integration Architects on API-first and event-driven integration patterns • Enable AI-ready platforms supporting Azure AI, Azure OpenAI, Microsoft Copilot, Azure AI Search, vector databases, and RAG solutions • Define data lifecycle management and regulatory compliance practices • Evaluate emerging technologies and provide strategic recommendations • Define storage strategies across relational, NoSQL, graph, time-series, and object storage technologies • Define partitioning, indexing, sharding, replication, caching, and disaster recovery strategies • Establish database security, encryption, backup, recovery, retention, and performance-monitoring standards • Provide architectural guidance on polyglot persistence

🎯 Requirements

• 8+ years of experience in data architecture, data engineering, or enterprise data roles • At least 3 years focused on finance, tax, or accounting domains • Deep hands-on expertise with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, Delta Live Tables, Unity Catalog, and Synapse Analytics • Strong proficiency in Microsoft Fabric, including Lakehouse, Data Warehouse, Pipelines, Direct Lake, and OneLake architecture • Experience with Microsoft Purview for governance, cataloguing, lineage, and policy management • Proficiency in SQL, Python, and/or Spark • Strong knowledge of dimensional modelling, data vault, and canonical data model design patterns • Experience with Delta Lake and Medallion Architecture for financial data • Familiarity with ERP data structures, particularly Workday, SAP, or Oracle Finance • Experience architecting and governing SQL and NoSQL database solutions, including SQL Server, Azure SQL Database, PostgreSQL, MySQL, Oracle, MongoDB, Apache Cassandra, Couchbase, Azure Cosmos DB, and Redis • Familiarity with Azure DevOps, CI/CD pipelines, and infrastructure-as-code • Proven ability to define and communicate enterprise data architecture vision, standards, and roadmaps • Strong understanding of data modelling, governance, and data platform design principles • Experience working in Agile/Scrum environments and distributed delivery teams • Ability to communicate effectively with technical and non-technical stakeholders • Exposure to e-Invoicing standards and tax authority data exchange formats is advantageous