Sr. Data Architect

The Role:

• Partner with other architecture resources to lead the end-to-end architecture of the health and benefits data platform using Azure services, ensuring scalability, flexibility, and reliability.
• Develop broad understanding of the data lake architecture, including the impact of changes on a whole system, the onboarding of clients and the security implications of the solution.
• Design a new or improve upon existing architecture including data ingestion, storage, transformation and consumption layers.
• Define data models, schemas, and database structures optimized for H&B use cases including claims, census, placement, broking and finance sources.
• Designing solutions for seamless integration of diverse health and benefits data sources.
• Implement data governance and security best practices in compliance with industry standards and regulations using Microsoft Purview.
• Evaluate data lake architecture to understand how technical decisions may impact business outcomes and suggest new solutions/technologies that better align to the Health and Benefits Data strategy.
• Draw on internal and external practices to establish data lake architecture best practices and standards within the team and ensure that they are shared and understood.
• Continuously develop technical knowledge and be recognised as a key resource across the global team.
• Collaborate with other specialists and/or technical experts to ensure H&B Data Platform is delivering to the highest possible standards and that solutions support stakeholder needs and business requirements.
• Initiate practices that will increase code quality, performance and security.
• Develop recommendations for continuous improvements initiatives, applying deep subject matter knowledge to provide guidance at all levels on the potential implications of changes.
• Build the team s technical expertise/capabilities/skills through the delivery of regular feedback, knowledge sharing, and coaching.
• High learning adaptability, demonstrating understanding of the implications of technical issues on business requirements and / or operations.
• Analyze existing data design and suggest improvements that promote performance, stability and interoperability.
• Work with product management and business subject matter experts to translate business requirements into good data lake design.
• Maintain the governance model on the data lake architecture through training, design reviews, code reviews, and progress reviews.
• Participate in the development of Data lake Architecture and Roadmaps in support of business strategies
• Communication with key stakeholders and development teams on technical solutions. Convince and present proposals by way of high-level solutions to end users and/or stakeholders.

The Requirement:

• Candidate must have significant experience in a technology related discipline, such as IT or Engineering with a Bachelors/College Degree in these areas being beneficial.
• Strong experience in databases, tools and methodologies
• Strong skills across a broad range of database technologies including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and other Azure Services.
• Working knowledge of Microsoft Fabric is preferred.
• Data Analysis, Data Modeling, Data Integration, Data Warehousing, Database Design
• Experience with database performance evaluation and remediation
• Develop strategies for data acquisitions, archive recovery and implementation
• Be able to design and develop Databases, Data Warehouses and Multidimensional Databases
• Experience in Data Governance including Microsoft Purview, Azure Data Catalogue, Azure Data Share, and other Azure tools.
• Familiarity with legal risks related to data usage and rights.
• Experience in data security, including Azure Key Vault, Azure Data Encryption, Azure Data Masking, Azure Data Anonymization, and Azure Active Directory.
• Ability to develop database strategies for flexible high-performance reporting and business intelligence
• Experience using data modeling tools & methodology
• Experience working within an Agile Scrum Development Life Cycle, across varying levels of Agile maturity
• Experience working with geographically distributed scrum teams
• Excellent verbal and writing skills, including the ability to research, design, and write new documentation, as well as to maintain and improve existing material

Technical competencies:

Subject Matter Expertise

• Developing expertise
  • You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.
  • You define the expertise required in your area based on emerging technologies, industry practices. You build the team s capability accordingly.
• Applying expertise
• You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team.

Solution Development

• Systems thinking
  • You lead and foster collaboration across H&B Data Platform Technology to develop solutions to complex issues.
  • You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.
• Focusing on quality
• You instill a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives.

Technical Communication

• Simplifying complexity
  • You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.

• Candidate must have significant experience in a technology related discipline, such as IT or Engineering with a Bachelors/College Degree in these areas being beneficial.