Senior Analytics Engineer

Summary

Join Acryl Data as our first Senior Analytics Engineer and lead the development of our data infrastructure and analytics practice. You will have significant autonomy to shape our data strategy, build scalable foundations, and establish best practices. You'll architect our data stack, build data pipelines, and work with leadership on product analytics initiatives. This role requires strategic thinking and hands-on implementation, balancing internal and external stakeholder needs. You will design and implement our data warehouse, establish data modeling frameworks, and create foundational data documentation. This is a remote position open to candidates in all US time zones.

Requirements

• 5+ years of experience in analytics engineering or similar technical roles
• Deep expertise in data modeling design and implementation, with proven ability to architect complex data models from scratch
• Extensive experience setting up and optimizing data warehouses and transformation layers
• Expert-level SQL skills and advanced knowledge of data modeling techniques (dimensional modeling, data vault)
• Strong proficiency with dbt (data build tool) and modern data warehouse platforms (Snowflake, BigQuery, or Redshift)
• Demonstrated ability to work effectively in fast-paced, ambiguous environments
• Experience working directly with business stakeholders to gather requirements and provide solutions
• Track record of building production-grade data pipelines from the ground up
• Strong Python programming skills for data manipulation and automation
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Responsibilities

• Design and implement our company's first data warehouse architecture and modeling framework with a focus on product usage analytics, user behavior patterns, and engagement metrics
• Establish best practices for data modeling, testing, and documentation that will scale with our growth
• Build and maintain our initial suite of data models and ETL pipelines using modern data stack technologies
• Create foundational data documentation and governance standards
• Partner directly with leadership to understand business requirements and translate them into technical solutions
• Drive data literacy across the organization through education and enablement

Preferred Qualifications

• Experience working with data catalogs (DataHub is a huge plus!)
• Previous experience as a first/early data hire at a startup
• Knowledge of data governance and security best practices
• Track record of implementing data quality frameworks
• Contributing to open-source projects or data communities

Benefits

This position is open to candidates in all time zones of the United States and can be done remotely