Lead Data Engineer

OneSix is hiring a Lead Data Engineer to lead client-facing business intelligence initiatives and develop data-driven solutions. The role shapes BI strategy, architects scalable data systems, guides engineering teams, and delivers analytics and reporting capabilities for clients.

Responsibilities:

• Define and drive the BI strategy, ensuring alignment with business objectives
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions
• Design, implement, and optimize scalable data models and architectures for reporting and analytics
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms
• Establish and enforce BI best practices, including data governance, security, and documentation
• Monitor and improve query performance, data processing efficiency, and system scalability
• Ensure compliance with data privacy and security regulations
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level
• Facilitate training and enablement programs to enhance BI adoption across the organization

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field
• 6+ years of experience in business intelligence, data engineering, or a similar role
• Expert-level proficiency in SQL, data modeling, and ETL development
• Extensive experience with BI tools such as Power BI, Tableau, or Looker
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions
• Strong programming skills in Python, R, or other scripting languages for data automation
• Proven ability to lead teams and manage large-scale BI initiatives
• Excellent problem-solving, strategic thinking, and stakeholder communication skills
• Experience with machine learning, AI-driven analytics, or predictive modeling
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar)
• Knowledge of version control (Git) and CI/CD for data workflows
• Background in Agile methodologies and project management
• Strong mentorship abilities and a passion for helping others grow
• Ability to influence technical strategy without direct managerial authority
• Effective communication skills to present complex ML concepts to diverse audiences
• Problem-solving mindset and ability to work cross-functionally with different teams