Lead Data Architect

Bounteous United States

About the role

This is a hands-on data leadership role at Bounteous, a global AI services firm, open remotely in the United States. The role combines senior individual-contributor analytics work with mentoring and setting technical standards for a team of analysts. It suits someone with deep, hands-on SQL and statistics experience who wants to lead complex, high-stakes data analyses rather than operate purely in a supervisory capacity.

What you’ll do

  • Lead and execute complex, high-stakes analyses including deep-dive investigations and statistical modelling
  • Guide and unblock the team on difficult technical problems such as query optimization and data modeling
  • Write advanced, performant SQL against large and complex datasets
  • Build and maintain robust data models and pipelines in partnership with Data Engineering
  • Apply statistical methods such as A/B testing, regression, and cohort analysis
  • Design and build dashboards and reporting frameworks
  • Set and enforce technical standards for the team, including code review and data quality checks
  • Mentor analysts by working alongside them on hard problems
  • Present complex findings to senior stakeholders

What they’re looking for

  • 9+ years of hands-on data analysis experience with demonstrated depth in complex, high-volume datasets
  • 2+ years leading or mentoring analysts on technically difficult work
  • Expert-level SQL, including window functions, query optimization, and untangling messy schemas
  • Experience with cloud data warehouse/lakehouse platforms such as Snowflake and Databricks
  • Solid grounding in statistics: experimentation design, hypothesis testing, and regression
  • Experience with a BI/visualization tool such as Tableau, Looker, or Power BI
  • Demonstrated ability to independently solve ambiguous, multi-layered data problems
  • Proven ability to communicate complex technical findings to non-technical stakeholders

Nice to have

  • Direct experience designing and analyzing A/B tests or experimentation frameworks
  • Exposure to data engineering concepts such as schema design, ETL, and data warehousing
  • Experience formally managing analysts, not just technical mentorship

What’s on offer

  • Willing to sponsor eligible candidates for employment visas

Questions about this role

How many years of experience do I need?

9+ years of hands-on data analysis experience, plus 2+ years leading or mentoring analysts.

Is this role remote?

The listing is for the United States without a named office, and the company states willingness to sponsor visas for eligible candidates.

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