Senior Lead Engineer

About One Six

One Six is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices.

With the recent acquisition of Strong Analytics, an ML and AI consultancy, One Six is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof.

One Six is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We're an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

Job Description & Responsibilities

The Senior Lead Engineer at One Six works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement data strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery.

They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class data tools to solve our clients' most pressing challenges.

• Define and drive the data strategy, ensuring alignment with business objectives.
• Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into data 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 data tools.
• Implement and optimize data solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into data platforms.
• Establish and enforce data 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 data adoption across the organization.

Experience, Qualification, & Skills

• 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.

Leadership & Soft Skills:

• 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.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000-$160,000 USD annually, depending on experience and location. Compensation may vary…