Data & Reporting Architect

Anchorage Digital

About The Position

At Anchorage Digital, we are building the worldâs 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 Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. 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. We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Data and Reporting Architect role:

Requirements

6+ years of experience in analytics engineering, data engineering, or related roles with increasing responsibility for data architecture and technical leadership
Expert-level data modeling skills with proven ability to design dimensional models, establish modeling patterns, and make principled trade-offs across multiple business domains
Deep expertise in SQL and data transformation including advanced optimization, performance tuning, and writing maintainable, production-quality code at scale
Extensive experience with modern BI platforms (Looker strongly preferred) including semantic layer design, governance patterns, and building self-serve analytics at scale
Proven experience with dbt or similar transformation frameworks including establishing project structure, testing strategies, documentation patterns, and CI/CD workflows
Strong foundation in data quality and testing with experience implementing automated validation, reconciliation frameworks, and observability patterns
Experience with Python-based data tools including pandas, data validation libraries, or API development for data services
Experience with orchestration platforms (Airflow, Dagster, Prefect, or Argo) and designing reliable, observable data pipelines
Cloud data warehouse expertise (BigQuery, Snowflake, or Redshift) with deep understanding of optimization techniques, cost management, and performance tuning
Technical leadership experience including mentoring engineers, conducting design reviews, establishing coding standards, and driving adoption of best practices
Excellent communication skills with proven ability to present technical content to executive stakeholders and translate between business requirements and technical architecture
Track record of delivering high-quality results in fast-paced, high-stakes environments with incomplete information and competing priorities

Nice To Haves

Experience in financial services, fintech, or cryptocurrency/blockchain companies
Knowledge of blockchain data and on-chain analytics
Data platform or infrastructure engineering experience
Background in financial reporting, accounting, or audit with understanding of GAAP principles, financial statement preparation, or reserve methodologies
You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

Responsibilities

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 reporting SLAs; drive continuous improvement in operational excellence
Develop expert-level understanding of Anchorage Digital's business model, regulatory environment, and technical architecture; understand data flows across custody, staking, stablecoins, trading, and banking operations
Build trusted advisor relationships with senior stakeholders in Finance, Trading, Risk, and executive leadership; become the go-to technical expert for data architecture and reporting questions
Partner with Data Platform engineers on infrastructure strategy; influence roadmap and design decisions for shared data services, tools, and platforms
Mentor and develop analytics engineers on the team; provide technical guidance, conduct design reviews, and help team members grow their technical skills
Document architectural decisions, design patterns, and domain knowledge; establish knowledge-sharing practices that scale as the team grows
Represent the analytics team in cross-functional technical discussions; advocate for data quality, observability, and analytics engineering best practices
Present complex technical architectures and design decisions to senior leadership and executive audiences; distill technical details into business impact and risk trade-offs
Lead design reviews and architectural discussions; facilitate consensus on contentious technical decisions; document rationale for future reference
Work with external auditors and regulators to explain data architectures, reconciliation logic, and control frameworks; respond to technical questions with precision and transparency
Write clear, comprehensive technical documentation including architecture decision records, data model specifications, and operational runbooks
Influence technical culture and standards across the analytics organization; champion best practices for code quality, testing, and documentation
Navigate difficult stakeholder conversations when requirements conflict with technical feasibility or best practices; propose alternative solutions and manage expectations effectively