Senior Technical Engineering Manager, Data Engineering - Alkami Technology, Inc.

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.

As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.

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Essential Duties & Responsibilities

Hands-On Contribution (20%)

Team Leadership and Development: Lead, hire, mentor, and cultivate a high-performing team of data engineers and managers. Foster a vibrant culture of collaboration, innovation, and continuous improvement, empowering the team to achieve their full potential.

Technology Strategy and Architecture: Take ownership of the design, development, and ongoing maintenance of scalable data systems and solutions. This includes supporting both real-time data processing for immediate insights and offline batch processing for comprehensive analysis.

Stakeholder Collaboration: Work in close partnership with product managers, data analysts, and other key stakeholders. Ensure the consistent availability and impeccable quality of data to meet diverse business and operational requirements, acting as a trusted data advocate.

Automation , Open-Source Adoption And AI workflow adoption: Drive the automation of data processes and the development of highly scalable solutions. This will involve strategically leveraging cutting-edge open-source tools ,AI workflow and pipelining tools to maximize efficiency and flexibility.

Data Management and Best Practices: Continuously assess and integrate the latest data management tools, technologies, and industry best practices. Stay at the forefront of data innovation to ensure our data infrastructure remains competitive and efficient.

Data Governance, Security, and Compliance: Champion robust data governance practices, enforce stringent security protocols, and ensure full compliance with global industry regulations and company policies. This includes managing data acc