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Enterprise Data Architect

2 days, 9 hours ago
United Kingdom
Full-time
Senior
Data Architect
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure Databricks dbt GCP Generative AI Kafka Machine Learning MLflow MLOps Neo4j OpenSearch Snowflake
Apply Now
Infosys

Infosys

Infosys specializes in providing comprehensive consulting and IT services that facilitate digital transformation for clients across various industries, leveraging advanced technologies and innovative solutions to enhance business processes and drive me...

Internet Software & Services
100K+
Founded 1981
View All Jobs 17

Description

  • Design AI-ready enterprise data architectures for analytics, AI, ML, GenAI and agentic use cases.
  • Assess existing client data estates and identify structural, governance, semantic and data quality issues.
  • Develop pragmatic modernisation roadmaps and implementation plans for clients.
  • Advise on architecture trade-offs across lakehouses, warehouses, data fabrics, graph databases, semantic layers, vector search and hybrid patterns.
  • Define governance and metadata approaches for ownership, stewardship, quality, lineage, cataloguing, access control and lifecycle management.
  • Design data products, data contracts and information models that support reusable enterprise data.
  • Shape semantic layers, ontologies and knowledge graph patterns to improve discoverability, interoperability and AI consumption.
  • Oversee high-level ingestion, integration and transformation design across batch, event-driven and real-time patterns.
  • Identify and mitigate data-related risks such as poor quality, weak provenance, data leakage and inappropriate access.
  • Act as a trusted advisor to client stakeholders and translate technical decisions into business outcomes, options and risks.
  • Contribute to proposals, client conversations, internal methods and thought leadership.

Requirements

  • 5–10+ years of experience in data architecture, enterprise architecture, solution architecture or senior data engineering roles.
  • Demonstrable experience designing modern data architectures for analytics, AI, ML or GenAI consumption.
  • Strong understanding of cloud data platforms, lakehouses, warehouses, data integration, data modelling and metadata management.
  • Experience contributing to or leading data governance initiatives, including catalogues, lineage, ownership, stewardship, data quality and metadata management.
  • Practical understanding of semantic layers, ontologies or knowledge graph concepts, with hands-on experience in at least one of these areas.
  • Deep experience with at least one major cloud data platform such as AWS, Azure or Google Cloud.
  • Familiarity with leading lakehouse or warehouse technologies.
  • Understanding of how data architecture decisions affect AI and GenAI outcomes, including quality, provenance, context, retrieval, security, privacy and semantic consistency.
  • Familiarity with GenAI data patterns such as retrieval-augmented generation, vector search, embedding pipelines, chunking strategies or enterprise search.
  • Strong stakeholder management and communication skills, including the ability to present technical trade-offs to non-technical sponsors and senior executives.
  • Excellent written and verbal communication skills in English.
  • Bachelor’s degree or equivalent experience; quantitative, technical or analytical disciplines are an advantage.
  • Willingness to travel up to around 60% across the UK and internationally, depending on project requirements.
  • A second major European language is an advantage.
  • Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL is preferred.
  • Familiarity with feature store design and MLOps / DataOps pipeline integration is preferred.
  • Experience with stream processing at scale using Apache Kafka or Apache Flink is preferred.
  • Background in master data management or data mesh architecture is preferred.
  • Consulting or comparable client-facing delivery experience is preferred.
  • Exposure to technologies such as Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Google BigQuery, Amazon Redshift, Spark, dbt, Airflow, Azure Data Factory, AWS Glue, Dataflow, Kafka, Flink, Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage, Neo4j, Amazon Neptune, Stardog, GraphDB, Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch, pgvector, Feast, Tecton or MLflow is useful.

Benefits

  • Industry-leading compensation and benefits.
  • Top training and development opportunities.
  • Work within a globally renowned management consulting firm with global reach.
  • Inclusive and entrepreneurial culture.
  • Opportunity to work with market-leading brands across sectors.
  • Recognition as one of the UK’s top firms by the Financial Times and Forbes.
  • Strong employee conditions and recognition across Europe from the Top Employers Institute.

Interested in this position?

Apply directly on the company website

Apply Now

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