Job description

Position: Director of Data Engineering Location: Oklahoma City, OK Employment Type: Full-Time Company Overview We are a confidential, rapidly scaling company focused on delivering innovative payroll and Human Capital Management (HCM) solutions. Our mission is to streamline workforce management through cutting-edge technology, leveraging data-driven insights to empower businesses. As we build our team, we are seeking a visionary Director of Data Engineering to lead our data strategy and infrastructure. Job Summary The Director of Data Engineering will spearhead the development and management of our data infrastructure, ensuring robust, scalable, and efficient data systems to support our payroll and HCM solutions. This role will oversee data warehousing, reporting, and analytics using tools like Snowflake, Tableau, and/or PowerBI, while driving the implementation of AI to uncover operational efficiencies. The ideal candidate is a strategic leader with deep technical expertise and a passion for transforming data into actionable insights. Key Responsibilities • Data Infrastructure Leadership: Design, build, and maintain a scalable data architecture using Snowflake as the primary data warehouse to support payroll and HCM data processing. • Data Pipeline Development: Oversee the creation and optimization of ETL/ELT pipelines to ensure seamless data ingestion, transformation, and storage. • Reporting and Analytics: Lead the development of advanced reporting and visualization solutions using Tableau or PowerBI to deliver actionable insights to internal teams and clients. • AI Implementation: Drive the integration of AI and machine learning models to identify operational efficiencies, improve payroll processing, and enhance HCM workflows. • Team Leadership: Build and mentor a high-performing data engineering team, fostering a culture of innovation, collaboration, and technical excellence. • Data Governance: Establish and enforce data quality, security, and compliance standards, ensuring alignment with industry regulations (e.g., GDPR, CCPA, SOC). • Cross-Functional Collaboration: Partner with product, engineering, and business teams to align data initiatives with company objectives and client needs. • Performance Optimization: Continuously monitor and optimize data systems for performance, cost, and scalability to support business growth. Qualifications • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • Experience: • 10+ years of experience in data engineering, with at least 3 years in a leadership role. • Proven track record of building and managing data warehouses, preferably with Snowflake. • Extensive experience with reporting tools such as Tableau or PowerBI. • Hands-on experience implementing AI/ML solutions for business process optimization. • Background in payroll, HCM, or financial services is a plus. • Technical Skills: • Expertise in Snowflake or similar cloud-based data warehousing platforms. • Proficiency in SQL, Python, or other programming languages for data processing. • Strong knowledge of ETL/ELT tools (e.g., dbt, Airflow, Informatica). • Familiarity with cloud platforms (AWS, Azure, or GCP). • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus. • Soft Skills: • Exceptional leadership and team-building skills. • Strong communication and stakeholder management abilities. • Strategic thinker with a problem-solving mindset. • Ability to thrive in a fast-paced, startup environment. Preferred Qualifications • Experience in a startup or high-growth company. • Knowledge of payroll and HCM systems and data requirements. • Familiarity with data privacy and compliance in financial services. Compensation and Benefits • Competitive salary and equity package. • Comprehensive health, dental, and vision insurance. • 401(k) with company match. • Flexible work options with a primary base in Oklahoma City, OK. • Opportunities for professional growth in a dynamic startup environment.

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