← Serch more jobs

Data Solutions Architect - Financial Data, Compliance & Business Intelligence

LinkedIn Crowe Washington, DC
Not Applicable Posted April 4, 2026 10 variants Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Experience working in or consulting for financial services.
  • In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements.
  • At least 7–10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired.
  • Proven track record in managing complex data projects and leading cross-functional teams.
  • Experience in working with large datasets, data warehousing, and advanced analytics tools.
  • 8+ years of hands-on experience in enterprise data warehouse and data lake implementations
  • 5+ years of external client consulting experience
  • 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
  • 5+ years of team management experience (including offshore resources)
  • 5+ years of experience leading multiple external client projects simultaneously
  • 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities
  • 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics
  • Experience mentoring teammates or conducting technical training
  • Possess integrity and a strong work ethic
  • Strong analytical and verbal/written communication skills
  • Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
  • Familiarity with machine learning frameworks and cloud-based data platforms is advantageous
Preferred Skills
  • Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected
  • Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner).
  • Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including:
  • requirements gathering
  • infrastructure planning and deployment
  • logical and physical dimensional model design and development
  • ETL/ELT development and maintenance
  • model and data validation
  • documentation
  • Previous consulting experience or experience working with external clients
  • Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
  • Familiarity with machine learning frameworks and cloud-based data platforms is advantageous
  • Experience working on projects using agile development practices
  • Azure experience: building landing zones, provisioning resources, establishing security is a big plus
Education
  • (Required) – Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required.
  • (Not required) – Advanced degree (Master’s/Ph.D.) is preferred.