Data Architect- Expert with Data Mesh

TribolaTech Inc; New York (NY); Hybrid; USD 91,000 - 185,000; Full time

Job summary

An innovative firm is searching for a Solutions Architect to lead the design and implementation of a cutting-edge cloud-based Data Mesh platform. This pivotal role involves driving a data management strategy that empowers teams to create scalable, data-driven products while advancing application modernization. The ideal candidate will have extensive experience in Java engineering and data architecture, specifically in cloud environments. Join a forward-thinking team that values decentralized data ownership and champions data as a product, fostering a culture of accountability and innovation. This is an exciting opportunity to shape the future of data management and analytics.

Qualifications

• 8+ years of Java engineering experience, with 3+ in data architecture.
• Proven experience in implementing Data Mesh and Data Lake.
• Hands-on expertise in designing streaming data systems.

Responsibilities

• Drive the Data Management Strategy & Architecture across the organization.
• Collaborate on refining the Data Mesh architecture for scalability.
• Enable decentralized data ownership and foster innovation.

Skills

Java Engineering

Data Architecture

Cloud-Based Data Platforms

Data Modeling

APIs and Integration Patterns

Agile Principles

Streaming Data Systems

Distributed Data Architectures

Cloud Platforms (AWS)

DevOps Practices

Education

BS/MS in Computer Science

Tools

Kafka

Flink

Spark

AWS Glue

AWS EMR

AWS S3

AWS Lambdas

Kubernetes

Docker

Job description

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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. for H1B

Only USC/GC on the direct hire option.

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

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