Senior Analytics Engineer

About Lyra
Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs.

Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
Role Overview
The international data team is undergoing a complete transformation of their data architecture, migrating from a legacy SQL server, Azure Data Factory, SSAS and Power BI stack to Snowflake, dbt, Airflow, Tableau and Sigma. This opportunity will give you a chance to share your knowledge about best practises with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch.

Key Responsibilities:

7+ years experience in data engineering

Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow

Experience in building dbt models to transform data using Medallion architecture

Experience in designing and building dimensional data models from scratch with Type 2 SCDs and star schemas

Experience in maintaining data warehouses on SQL Server

Experience in designing and building at least one data warehouse on Snowflake from scratch

Be the Snowflake and dbt expert on the team, providing guidance on best practises

Make key design decisions for a brand new multi-dimensional data model

Make key architectural decisions for building a brand new data warehouse on Snowflake

Build and maintain pipelines to ingest data from Salesforce and various other data sources

Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools

Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders

The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different timezones, it is important that the candidate has strong interpersonal skills

Requirements:

7+ years experience in data engineering, ideally including cloud migration to Snowflake

Development of pipelines to ingest and transform data from scratch using REST APIs, AWS S3 and Airflow

Experience in designing and building dimensional data models from scratch with Type 2 SCDs and star schemas

Experience in designing and building at least one data warehouse on Snowflake from scratch

Strong SQL skills (CTEs and window functions)

Proficiency in Python for building pipelines with Snowpark

Experience designing multi-dimensional data models with star schema and Type 2 SCDs

Experience with dbt for building robust ELT processes

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health . Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.

We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is…