Senior Data Platform Engineer (Remote)

Lyric; Madison (WI); Remote; USD 125,000 - 188,000; Full time

Job summary

Lyric is seeking a Senior Data Engineer on the Data Platform team to design and deliver production data pipelines using Snowflake, Airflow, dbt, and Python.

You will implement the canonical data model, ensure data quality and observability, and partner with consuming teams across invoicing, analytics, and reporting, while contributing to architecture.

This is a remote US role (full-time) with on-call rotation and a focus on scalable, multi-tenant data platforms.

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, clustering, and micro-partitions.
• Production experience with dbt and Airflow, including how to structure models and DAGs so that someone else can maintain them.
• Strong programming expertise in Python and deep SQL proficiency.
• Solid data modeling skills, with experience designing schemas that serve more than one consumer and the judgment to know when a requirement belongs in the shared model versus a consumer-specific extension.
• Experience building testing and data quality validation into pipelines rather than checking data after the fact.
• Disciplined engineering practices: version control, code review, automated testing, and CI/CD applied as a matter of course.
• Ability to work directly with non-engineering consumers of data, understand what they actually need, and communicate constraints and tradeoffs clearly.

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

Python

SQL

Airflow

dbt

Snowflake

Data modeling

Data pipelines

RBAC

Testing

CI/CD

Education

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

Tools

Datadog

dbt

Job description

Lyric is seeking a Senior Data Engineer on the Data Platform team to design and deliver production data pipelines using Snowflake, Airflow, dbt, and Python.

You will implement the canonical data model, ensure data quality and observability, and partner with consuming teams across invoicing, analytics, and reporting, while contributing to architecture.

This is a remote US role (full-time) with on-call rotation and a focus on scalable, multi-tenant data platforms.