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Data Analytics Data Solutions Architect

Crowe

$102,400 - $204,100

Aug 28, 2025

Boston, MA, USA • Indianapolis, IN, USA • Houston, TX, USA • Lombard, IL, USA • Knoxville, TN, USA • Newport Beach, CA, USA • Washington, DC, USA • San Francisco, CA, USA • Austin, TX, USA • Cleveland, OH, USA • Los Angeles, CA, USA • Tampa, FL, USA • San Jose, CA, USA • Grand Rapids, MI, USA • Miami, FL, USA • Dallas, TX, USA • Chicago, IL, USA • Sacramento, CA, USA • Columbus, OH, USA • Hartford, CT, USA • New York, NY, USA • Atlanta, GA, USA • Fort Wayne, IN, USA • South Bend, IN, USA • Sarasota, FL, USA

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Crowe is looking for a Data Solutions Architect to help clients solve complex business issues from strategy to execution, leveraging data analytics and regulatory compliance expertise, particularly in the financial services sector.

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.
8+ years of hands-on experience in enterprise data warehouse and data lake implementations
5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
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
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
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.

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.
Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment.
Create proofs of concept 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.

Other

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.
Possess integrity and a strong work ethic