Data & Reporting Architect

At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry’s leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings.

The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Fran‑cisco, California, Anchorage Digital has offices in New York, New York;
Porto, Portugal;
Singapore; and Sioux Falls, South Dakota. Learn more at , on X @Anchorage, and on Linked In. Join Anchorage Digital’s Global Analytics team as a Data and Reporting Architect and shape the technical foundation that powers mission‑critical reporting across the organization. You’ll design data architectures and reporting systems that ensure accuracy, reliability, and auditability for high‑stakes use cases including stablecoin reserves, trading and settlement reconciliation, regulatory reporting, and executive decision‑making.

In this role, you’ll serve as the technical lead for our most complex data challenges, establishing patterns and standards that the team will follow. You’ll work at the intersection of cutting‑edge blockchain technology and regulated finance, designing solutions for stablecoin reconciliations, staking operations, custody reporting, and financial settlements. You’ll partner with Finance, Compliance, Product, and Engineering, and executive leadership to architect data models and reporting systems that can withstand external audits and regulatory scrutiny while scaling with business growth.

If you’re passionate about building reliable data systems, mentoring engineers, and solving hard technical problems in a high‑impact domain, this role is for you.

• Design data architectures and modeling patterns that span multiple business domains; establish conventions for dimension modeling, fact table design, slowly changing dimensions, and temporal data handling
• Architect semantic layers and BI infrastructure with focus on governance, discoverability, and self‑service; design LookML patterns and Explore structures that balance flexibility with guardrails
• Define and implement data quality frameworks including automated testing strategies (dbt tests, reconciliation checks, anomaly detection), observability patterns, and SLA monitoring
• Make principled architectural decisions on technology choices, materialization strategies, and optimization approaches (partitioning, clustering, incremental models, caching); balance performance, cost, and maintainability trade‑offs
• Establish code standards, review practices, and technical documentation patterns for the analytics team; mentor analysts on advanced SQL techniques, data modeling principles, and software engineering best practices

• Own the technical architecture for multiple domain areas end‑to‑end; ensure reporting meets audit, regulatory, and executive requirements
• Design and implement reporting systems that support external audits and regulatory examinations; establish audit trails, data lineage, and control frameworks that demonstrate effective oversight
• Lead resolution of complex data quality incidents and reconciliation breaks; perform root cause analysis across multiple systems, design permanent fixes, and implement preventive controls
• Drive strategic technical initiatives such as data platform migrations, BI tool consolidation, or implementation of new data governance frameworks; coordinate work across analytics, engineering, and business teams
• Anticipate future business needs and design data architectures that can evolve; balance solving immediate problems with building reusable, scalable infrastructure
• Establish metrics and monitoring for data quality, pipeline reliability, and…