About The Position

Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required.
  • 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
  • In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements.
  • Experience working in or consulting for financial services.

Nice To Haves

  • Advanced degree (Master’s/Ph.D.) is preferred.
  • 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 subject matter expert interviews 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

Responsibilities

  • Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment.
  • Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making.
  • Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data.
  • Ensure data quality and integrity through best practices in data management and governance.
  • Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment.
  • Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth.
  • Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies.
  • Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention.
  • Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements.
  • Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies.
  • Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance.
  • Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML).
  • Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery.
  • Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team.
  • Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client.
  • Lead and provide technical guidance and mentorship to other team members.
  • Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment.
  • Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation.
  • Document, diagram, and present complex/technical material that can be understood by a non-technical audience.
  • Create and deploy accurate client architecture and analyses in a relatively short period of time.
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