Data Architect at Unchained

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Governance, Data Modeling, ETL, Data Warehousing, SQL, Python, Java, Scala, NoSQL, Cloud Platforms, Big Data, API Design, Microservices, Data Visualization, Project Management

Industry

Financial Services

Description

POSITION OVERVIEW At Unchained, data isn't just numbers—it's trust, insight, and the foundation of a new financial future built on Bitcoin. As our Data Architect, you’ll play a mission-critical role in shaping the data infrastructure that powers everything from client-facing experiences to high-stakes custody and compliance. This role is more than technical—it's strategic. You’ll design and lead the development of a secure, scalable, and future-ready data architecture that enables real-time decision making, drives business intelligence, and supports every corner of the organization. From engineering to finance, from product to compliance, your work will empower teams with clean, reliable, and actionable data. We're looking for someone who can think big and build smart—someone who thrives at the intersection of data strategy and hands-on execution. If you're passionate about data, security, and the power of Bitcoin to redefine finance, we want to hear from you! WHAT YOU'LL DO Data Strategy & Architecture Design, implement, and maintain scalable data architectures and pipelines to support analytics, BI, and operational needs Develop and maintain data models, schemas, and taxonomies for efficient storage, retrieval, and analysis Establish best practices for data management across relational, NoSQL, and cloud platforms, including integration, storage, transformation, and access patterns Define and enforce data governance policies, standards, and procedures to ensure data quality, consistency, and security Collaborate with business stakeholders to translate requirements into technical solutions Technical Leadership Evaluate and recommend appropriate data storage solutions, including databases, data warehouses, data lakes, and NoSQL systems Design scalable ETL/ELT pipelines and integration patterns for batch and real-time processing Architect solutions for replication, backup, and disaster recovery to ensure business continuity Develop strategies for handling large volumes of data while maintaining performance and reliability Stay current with emerging data technologies and evaluate their application to the organization Data Governance & Quality Implement master data management and metadata frameworks to document lineage, definitions, and usage Establish data quality metrics and monitoring processes to ensure accuracy, completeness, and reliability Work with compliance and security teams to ensure adherence to GDPR, CCPA, and other regulatory requirements Design and implement data access controls and security measures to protect sensitive information Cross-Functional Collaboration Partner with analytics, application development, and infrastructure teams to optimize data models, integration, and performance Communicate complex technical concepts to non-technical stakeholders to drive understanding and alignment Team Leadership & Mentorship Provide guidance and mentorship to data engineers and analysts Review and approve database designs, data models, and pipeline implementations Lead architecture review sessions to ensure solutions meet technical standards and business requirements Foster a culture of innovation and continuous improvement within the data team Contribute to hiring, training, and professional development of team members WHO YOU ARE You have a Bachelor's in Computer Science, Information Systems, Data Science, Mathematics, or related field You have 15+ years of data engineering experience with 5+ years in architecture roles You have proven track record of designing and implementing enterprise-scale data solutions You have expertise in SQL, programming (Python, Java, Scala), data modeling (dimensional, ER), ETL/ELT, and data warehousing concepts You have extensive experience with relational (SQL Server, PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra) databases You are experienced with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Kafka) You have familiarity with data governance frameworks, regulatory compliance, and business intelligence tools You have knowledge of API design, microservices architecture, and data visualization tools You have the ability to balance strategic vision with practical implementation You have strong project management skills to coordinate complex data initiatives Even Better You have a Master's degree in Computer Science, Information Systems, or related field You have professional certifications in data architecture, data management, or cloud platforms You have experience in the organization's industry (finance, healthcare, retail, etc.) You have knowledge of machine learning and AI data requirements You have experience with data mesh or domain-oriented data architectures You have a background in implementing data observability solutions WHAT WE OFFER Company paid medical, dental, and vision coverage 401k with employer match Employee stock options Unlimited PTO Training & development opportunities Remote work flexibility P.S. Want to really impress us? Include a (non-AI generated) cover letter telling us why you’re the perfect fit. It’s totally optional—but we’ve got a soft spot for a great cover letter.

Responsibilities

Design and implement scalable data architectures and pipelines to support analytics and operational needs. Collaborate with business stakeholders to translate requirements into technical solutions and ensure data quality and security.