Solutions Architect - Data Platform and Governance

The Role

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, we’d love to hear from you!

How You'll 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.

What We’re Looking for  

• 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

What You Can Expect from Us

• Hybrid Environment: Our employees enjoy a mix of working in the office and from home
• Free Food: We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks
• Paid Time Off: Competitive PTO package including vacation and personal days, sick leave and charity days
• Generous Parental Leave: Up to 20 weeks fully paid leave
• 401(k): Dollar-for-dollar employer match up to $17,500
• Employee Stock Purchase Plan: Employees can purchase MarketAxess common stock at a discount
• Wellness Stipend: We provide employees with up to $1K annually towards gym memberships, home office equipment and more
• Onsite Healthcare: We offer convenient access to world-class care through Mount Sinai at our Hudson Yards location
• Tuition Assistance and Professional Development: Benefit from live and on-demand learning, role-specific training, employee-led Lunch and Learns and guest speakers
• Core benefits: Highly competitive medical, dental, and vision programs

For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $200,000 USD to $260,000 USD. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs.

MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.

All of your information will be kept confidential according to EEO guidelines.