OneSix Logo

OneSix

Lead Data Engineer

Reposted One Month Ago
Remote or Hybrid
Hiring Remotely in Canada
Senior level
Remote or Hybrid
Hiring Remotely in Canada
Senior level
The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.
The summary above was generated by AI

About OneSix 

OneSix is a data and AI services firm. We exist to make data and AI work for the businesses where it matters most. We take on the work companies can't afford to get wrong, embedding teams sized to the problem and working inside our clients' operations as partners, not extra hands. We build durable systems that outlast the engagement, and we leave every client more capable and more profitable than we found them.

We work with Healthcare and Life Sciences, Higher Education, Manufacturing, Private Equity, and marketing organizations. We're a Snowflake Elite services partner.

Five values guide our work: Always Truthful, Own the Outcome, Believe in the Work, Team Over Ego, and Learn Here, Lead Here. 

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

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

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.

Similar Jobs

8 Days Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Information Technology • Internet of Things • Software
Lead the technical direction of data engineering projects by designing scalable architectures, coaching data engineers, translating business needs into technical decisions, and contributing to critical code. Ensure delivery quality through testing, code reviews, validation, CI/CD, version control, and production deployment. Collaborate with AI, operations research, BI, and stakeholder teams while promoting effective use of AI tools and continuous team development.
Top Skills: AWSCi/CdDatabricksGitGitlabPysparkPythonSQL
3 Hours Ago
In-Office or Remote
Senior level
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads business systems analysis and data engineering support for military sustainment digital services. The role gathers and documents requirements, maps workflows, defines reporting and data needs, supports ETL/ELT, SQL analysis, integrations, dashboards, testing, governance, and implementation readiness. It partners with government, program, supplier, operational, product, and technical stakeholders to improve readiness and operational performance, while mentoring junior analysts and maintaining requirements, process, data, and delivery documentation.
Top Skills: AgileAmazon RedshiftAPIsAWSAzure SynapseConfluenceData ModelingDatabricksEtl/EltGitJIRALookerMiddlewarePower BIQlikSnowflakeSplunkSQLTableau
9 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical strategy and execution for foundational Trust and Safety backend systems supporting consumer risk and credit reporting. Design and operate highly available distributed systems, improve reliability, monitoring, testing, and on-call processes, and guide cross-functional initiatives. Establish engineering standards, conduct technical planning, mentor engineers, communicate architectural decisions, and drive system quality, scalability, and sustainability across teams.
Top Skills: SparkAWSKotlinKubernetesMySQLPython

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account