The Tidal Financial Group is a leading ETF investment technology platform dedicated to creating, operating, and growing ETFs. We combine expertise and innovative partnership approaches to offer comprehensive, value-generating ETF solutions. 

Our platform offers best-in-class strategic guidance, product planning, trust and fund services, legal support, operations support, marketing and research, and sales and distribution services.

To be considered for this role, please include a cover letter with your application.

We are prioritizing candidates who are located within close proximity to Chicago, Milwaukee, NYC, and West Palm Beach.

About the role

We are seeking a Financial Data Governance Engineer who is detail-oriented and passionate about data and ensuring its accuracy, security, and compliance. In this role, you will design data governance frameworks, implement data standards, and build/maintain data pipelines. You will also monitor and validate large-scale data sources—particularly in the ETF and broader financial space—with an emphasis on regulatory compliance (SEC and FINRA). Additionally, you will play a strategic advisory role to the Head of IT, leveraging your in-depth financial knowledge to shape data-related policies and best practices across the organization.

What you'll do

1. Data Governance & Compliance

• Develop and maintain comprehensive data governance frameworks, ensuring alignment with SEC and FINRA regulations.
• Create and enforce policies for data usage, privacy, and security across the organization.
• Implement processes for classifying, archiving, retaining, and securely disposing of data based on sensitivity and business value.
• Continuously monitor and validate data correctness to maintain regulatory standards and high-quality data operations.

2. Data Architecture & Pipeline Development

• Design, build, and maintain cloud-based data pipelines and architectures in AWS (or equivalent), leveraging tools such as Snowflake for data warehousing.
• Integrate various financial data sources, including Bloomberg APIs, custodial feeds, and fund administration data, ensuring high reliability and scalability.
• Oversee data collection, cleaning, and preparation from databases, APIs, and other external systems.
• Continuously monitor data pipelines for performance, errors, and anomalies, implementing proactive solutions to minimize downtime.

3. Data Standardization & Quality Assurance

• Establish rules and best practices to ensure data accuracy, consistency, and completeness across financial datasets.
• Implement validation methods and robust data checks, minimizing discrepancies in real-time and batch data flows.
• Conduct exploratory data analyses to detect patterns, anomalies, and opportunities for improved efficiency or quality.

4. Analytics & Reporting

• Collaborate with cross-functional teams (finance, operations, product) to gather data requirements and develop actionable insights.
• Build and maintain interactive dashboards and data visualizations in Sigma (or similar BI tools) to facilitate real-time business decisions.
• Provide strategic, data-backed recommendations to leadership, helping shape Tidal’s data-driven culture.

5. Strategic Advising & Collaboration

• Serve as a key resource and advisor to the Head of IT on data governance strategies, implementation roadmaps, and best practices.
• Work using Agile methodologies, collaborating closely with teams via GitHub and other modern development tools.
• Continuously research emerging data technologies and finance-industry trends, recommending innovations that could enhance Tidal’s data infrastructure.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 7+ years of professional experience in data engineering, data governance, or a closely related role.

Technical Skills

• Proficient in Python and SQL, with proven experience building and managing data pipelines.
• Familiarity with cloud platforms (AWS preferred) and data warehousing technologies (Snowflake, etc.).
• Strong understanding of financial industry data—especially ETFs, trading-related data, and Bloomberg APIs.
• Experience with BI tools (Sigma, Power BI, Tableau, or similar) for dashboards and data visualization.
• Solid grasp of Agile methodologies, version control (Git/GitHub), and modern development best practices.

Financial Domain & Governance Expertise

• Familiarity with SEC and FINRA regulations and compliance standards.
• Comfort working with custodians and fund administration data for ETFs or similar financial products.
• Experience establishing and enforcing data governance policies around data privacy, usage, classification, and retention.

Soft Skills

• Excellent communication and collaboration skills; able to work effectively in cross-functional, fast-paced environments.
• Detail-oriented, with a strong commitment to data quality, accuracy, and security.
• Strategic, proactive thinker who can advise leadership on opportunities for improvement in data practices.

To be considered for this role, please include a cover letter with your application.

We are prioritizing candidates who are located within close proximity to Chicago, Milwaukee, NYC, and West Palm Beach.