About OneSix
OneSix 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, OneSix is a uniquely powerful business partner to the enterprise,
with a talent mix that is nearly impossible to find under one roof.
OneSix 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 Business Intelligence at OneSix 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 BI 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 BI tools to solve our clients' most pressing
challenges.
- 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.
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
OneSix provides equal employment opportunities to all employees and applicants
for employment and prohibits discrimination and harassment of any type without
regard to race, color, religion, age, sex, national origin, disability status,
genetics, protected veteran status, sexual orientation, gender identity or
expression, familial status, or any other characteristic protected by federal,
state, or local laws. This policy applies to all terms and conditions of
employment, including recruiting, hiring, placement, promotion, termination,
layoff, recall, transfer, leaves of absence, compensation, and training.
