Senior Data Platform Engineer - Build Scalable Pipelines

tbc; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Lyric is a trusted leader in healthcare decision intelligence, building a data platform that ingests and serves core domains across a multi‑tenant environment. As a Senior Data Engineer on the Data Platform team, you will design and own end‑to‑end data pipelines using Airflow, dbt, and Snowflake, contributing to a canonical data model and robust quality checks.

You will collaborate with a Principal Data Engineer to shape architecture, mentor teammates, and ensure observability, scalability, and

Qualifications

• Bachelor's degree in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in data engineering, building and owning production data pipelines.
• Strong Snowflake experience, including streams and tasks, warehouse sizing and performance tuning, SQL optimization, and RBAC knowledge.

Responsibilities

• Design, build, and own data pipelines in our unified framework using Airflow, dbt, and Snowflake.
• Implement the canonical data model in production, working within the architecture set by the Principal Data Engineer and contributing to it based on what implementation reveals.
• Build automated validation and data quality checks into pipelines at defined stages, so that defects are caught before they reach consumers.
• Instrument pipelines for observability, including freshness, lineage, and failure alerting.
• Contribute to self‑service capability that allows consuming teams to declare the data they need and receive it as governed output rather than a custom build.
• Partner directly with consuming teams across invoicing, analytics, and reporting to understand their requirements and translate them into data they can rely on.
• Migrate and consolidate existing data workloads onto the unified framework without disrupting the consumers depending on them.
• Participate in an on‑call rotation for pipeline and data quality incidents, and in the incident reviews that make fixes permanent.
• Hold a high engineering bar: version control, testing, code review, CI/CD, and documentation that stays current.
• Mentor engineers, share knowledge deliberately, and raise the technical level of the people around you.

Skills

Airflow

dbt

Snowflake

Python

SQL

Data modeling

RBAC

Multi‑tenant data

Education

Bachelor's degree in Software Engineering, Computer Science, or a related field

Tools

dbt

Airflow

Snowflake

Job description

Lyric is a trusted leader in healthcare decision intelligence, building a data platform that ingests and serves core domains across a multi‑tenant environment. As a Senior Data Engineer on the Data Platform team, you will design and own end‑to‑end data pipelines using Airflow, dbt, and Snowflake, contributing to a canonical data model and robust quality checks.

You will collaborate with a Principal Data Engineer to shape architecture, mentor teammates, and ensure observability, scalability, and