Lead Analytics Engineer

Parachute Health-posted 3 months ago
$130,000 - $210,000/Yr
Full-time • Senior
New York, NY
101-250 employees
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The Lead Analytics Engineer drives scalable data solutions, enabling actionable insights and strategic business decisions across the company. This role combines deep technical expertise with leadership responsibilities by leading high-impact initiatives, mentoring the analytics team, and shaping data strategy.

  • Design, optimize, and scale end-to-end data pipelines and cloud-based infrastructure for analytics, reporting, and machine learning.
  • Own data integration, transformation, and modeling processes, ensuring accuracy, accessibility, and analytical readiness.
  • Lead implementation of dbt, Looker, and other modern analytics tools to deliver scalable, maintainable solutions.
  • Define and enforce standards for data modeling, data governance, lineage, monitoring, and compliance.
  • Evaluate emerging technologies and drive architecture decisions to future-proof the platform.
  • Lead complex initiatives spanning multiple teams and business domains.
  • Set project direction, ensure timely delivery, and maintain high-quality standards.
  • Translate business requirements into robust technical solutions.
  • Mentor data analysts and analytics engineers on technical challenges, best practices, and career growth.
  • Collaborate with leadership to ensure the data platform aligns with business objectives.
  • Identify opportunities to improve efficiency, scalability, and business impact through data.
  • Facilitate alignment across technical and non-technical stakeholders, promoting a culture of data-driven decision-making.
  • Foster knowledge sharing, continuous feedback, and cross-team collaboration.
  • Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience.
  • 7+ years in data engineering or analytics engineering delivering scalable, high-impact solutions.
  • 1+ years in senior-level roles with leadership and cross-team responsibilities.
  • Experience in cloud-native environments (BigQuery, Snowflake, Redshift, or similar).
  • Expert in SQL, Python, and modern analytics tools (dbt, Fivetran, Airflow, or equivalents).
  • Strong experience in data modeling, ELT/ETL pipelines, and cloud data warehouses.
  • Advanced proficiency with Looker or similar BI tools (LookML, dashboards, visualization).
  • Knowledge of data governance, quality frameworks, and testing methodologies.
  • Familiarity with machine learning pipelines, predictive modeling, or AutoML is a plus.
  • Proven ability to lead technical initiatives and mentor team members.
  • Strong problem-solving skills, designing scalable, maintainable architectures.
  • Excellent communication with technical and non-technical audiences.
  • Comfortable navigating ambiguity and driving decisions in fast-paced environments.
  • Experience in influencing senior stakeholders without direct authority.
  • Medical, Dental, and Vision Coverage
  • 401(k) Retirement Plan
  • Remote-First Company with the option to work at our New York City office
  • Equity Incentive Plan
  • Annual Company-Wide Bonus (up to 15%)
  • Flexible Vacation Policy
  • Summer Fridays - 5 Fridays Off During Summer (Separate From PTO)
  • Monthly Internet Stipend
  • Annual Home Office Stipend
  • Co-Working Space Reimbursement
  • Annual stipend for education and development
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