Data Solutions Architect - Financial Data, Compliance & Business Intelligence

Crowe LLP • Dallas, TX

2d

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
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees