Data Architect

Role Summary Seeking an experienced Lead Data Engineer / Data Solution Architect to lead the analysis and solution design of a next-generation enterprise Data & Analytics platform. The role focuses on building an AWS and Databricks-based Operational Data Hub, defining data architecture, ingestion strategies, data pipelines and implementation roadmaps. Key Responsibilities

• Analyze source systems, data structures and integration requirements.
• Design scalable data architectures, ingestion strategies, pipelines and data models using AWS and Databricks.
• Define enterprise data products and end-to-end data flows.
• Establish data quality, governance, lineage, security and access standards.
• Collaborate with business and technical stakeholders to translate requirements into solutions.
• Develop target architecture, technical designs, implementation plans and delivery roadmaps.
• Provide technical leadership during the transition from design to implementation. Mandatory Skills
• Strong experience as a Data Architect, Lead Data Engineer or Solution Architect.
• Hands-on expertise in Databricks, AWS, Apache Spark / PySpark and Delta Lake.
• Strong knowledge of data engineering, data modelling, data pipelines and lakehouse architecture.
• Experience designing enterprise data platforms, ingestion strategies and data products.
• Understanding of data governance, security, lineage and data quality.
• Strong client-facing communication, consulting and technical leadership skills. Nice to Have
• Collibra and/or Immuta.
• Life Sciences / Pharmaceutical / Drug Development experience.
• Experience delivering large-scale enterprise data platforms from design through implementation. Core Skills: AWS | Databricks | Spark / PySpark | Delta Lake | Data Engineering | Data Architecture | Data Products | Data Modelling | Data Governance | Enterprise Data Platforms