Solutions Architect Data Platform and Governance

Title: Solutions Architect Data Platform and Governance
Location: New York NY (Hybrid role 2/3 days onsite)
Contract Duration: Long term in 6-month increments.
Rate: $100
Client: MarketAxess

Project Description:
We are seeking a hands-on Solutions Architect to join our Data and Analytics Platform team driving the design and implementation of our next-generation cloud-based streaming Data Mesh platform. This role is pivotal to enabling teams to create scalable data-driven products and advancing our application modernization strategy.
Our Vision
We believe decentralized data is the future with Data Mesh as the key to unlocking its potential. Our vision is a world where data is treated as a product ownership is distributed to foster innovation and domain-oriented decentralized infrastructure drives agility and collaboration.
The Streaming Data Mesh will transform data into a strategic asset. Through well-defined data domains and business ownership we aim to:
Empower teams with self-serve data infrastructure.
Treat Data Domains as first-class products.
Shift responsibility from centralized teams to foster accountability and innovation.
By embracing platform thinking and adhering to the four pillars of Data Mesh-Data Ownership Data as a Product Self-Service Infrastructure and Federated Governance-we will create a seamless experience for creating discovering and utilizing trusted connected and real-time data.
If you are passionate about shaping the future of data through cutting-edge architectures fostering a culture of data stewardship and enabling decentralized innovation wed love to hear from you!
How Youll Help Take Us There
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 organisation 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.

Skills Required:
8 years of experience of extensive Java engineering experience with 3 in data architecture 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 (at scale)
Strong knowledge of data modeling APIs and integration patterns.
Good understanding of product management agile principles and development methodologies and capability of supporting agile teams by providing advice and guidance on opportunities impact and risks.
Experience writing technical proposals such as RFCs for peer-review and discussion
Hands-on expertise in designing streaming data systems (e.g. Kafka Flink KStreams) and distributed data architectures (Spark ETL EDA).
Proficiency in cloud platforms (AWS) including their services (e.g. AWS Glue EMR S3 Lambdas).
Familiarity with DevOps practices including CI/CD pipelines Infrastructure as Code (IaC) and containerization (e.g. Kubernetes Docker).
Ability to work effectively in a team environment and lead cross-functional teams.
BS/MS degree in Computer Science Engineering or a related subject