Lead Engineer, BI

Posted 10 days agoViewed

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💎 Seniority level: Lead, 6+ years

📍 Location: United States, Canada

🔍 Industry: Business Intelligence

🏢 Company: OneSix - External

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSLeadershipPythonSQLAgileBusiness IntelligenceCloud ComputingData AnalysisETLGitMachine LearningSnowflakeTableauAirflowAzureData engineeringCI/CDProblem SolvingExcellent communication skillsData visualizationMentorshipStrategic thinkingData modelingData management

Requirements:

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.

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.

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