Solutions Architect – Data Platform and Governance

Solutions Architect – Data Platform and Governance

Requirements

• 10+ years of experience of extensive Java engineering experience, with 3+ in solutions architecture, or similar roles, with a strong focus on cloud-based data platforms (still hands on)
• Proven experience contributing to or leading the implementation of Data Mesh, Data Lake, or modern data platforms in a complex, enterprise-scale environment
• Strong knowledge of data modeling, APIs, and integration patterns.
• Good understanding of product management, agile principles, and development methodologies and capability of running agile teams.
• Hands-on expertise in designing streaming data systems (e.g., Kafka, Flink, KStreams) and distributed data architectures (Iceberg, Spark, ETL, EDA).
• BS/MS degree in Computer Science, Engineering, or a related subject

Responsibilities

• Drive the Data Management Strategy & Architecture: Work with the Head of the Data Platform & Mesh to define the self-service automation, data catalogue, classifications and other functionality to work across the organization, ensuring its scalability, performance, and alignment with evolving business and technical needs.
• Contribute to the Data Mesh Architecture: Collaborate with the Head of the Data Platform to refine and enhance the defined Data Mesh architecture, ensuring its scalability, performance, and alignment with evolving business and technical needs.
• Enable Decentralized Data Ownership: Define and implement processes and infrastructure to support domain-oriented data ownership, fostering accountability and innovation across data domains.
• Champion Data as a Product: Collaborate with domain teams to treat data as a product, developing reusable, high-quality, and trusted datasets that meet the needs of diverse stakeholders.
• Build Self-Service Infrastructure: Design and deploy self-serve tools and platforms that empower teams to create, discover, and manage data independently, reducing reliance on centralized engineering teams.
• Implement Federated Governance: Establish and enforce standards, policies, and best practices to ensure security, compliance, and interoperability across the Data Mesh while maintaining agility.
• Collaborate Across Teams: Work closely with engineering, data governance, and analytics teams to integrate the Data Mesh with existing systems, ensuring seamless data sharing and usability.

Preferred Qualifications

No preferred qualifications provided.