Data & Reporting Architect jobs in United States
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Anchorage Digital · 16 hours ago

Data & Reporting Architect

Anchorage Digital is building the world’s most advanced digital asset platform for institutions to participate in crypto. The Data and Reporting Architect will shape the technical foundation for mission-critical reporting, design data architectures, and ensure accuracy and reliability for high-stakes use cases such as regulatory reporting and financial settlements.

BlockchainCryptocurrencyFinancial ServicesFinTechSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Data architecture designSQL expertiseBI platform experienceData quality frameworksTechnical leadershipPython-based data toolsOrchestration platformsCloud data warehouse expertiseFinancial services experienceMentoring engineersCommunicationDocumentation skills

Required

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

Preferred

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

Company

Anchorage Digital

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Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions.

H1B Sponsorship

Anchorage Digital has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (7)
2023 (1)
2022 (9)
2020 (2)

Funding

Current Stage
Late Stage
Total Funding
$487M
Key Investors
Kohlberg Kravis RobertsGICBlockchain Capital
2021-12-15Series D· $350M
2021-02-25Series C· $80M
2019-07-10Series B· $40M

Leadership Team

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Nathan McCauley
Co-Founder and CEO
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Diogo Mónica
Co-Founder and Executive Chairman
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Company data provided by crunchbase