Senior Data Platform Architect & Engineer

fanaticsfbg; United States; Remote; USD 181,000 - 238,000; Full time

Benefits offered by this job

Some interview/onboarding in person

Job summary

fanaticsfbg is seeking a Senior Data Engineer to set the technical direction for a data platform that ingests data from source systems into reliable, decision-ready data. You will own architecture across ingestion, orchestration, governance, and delivery, solving complex problems beyond runbooks.

You will lead the creation of reusable standards, drive reliability improvements, and mentor engineers while partnering with analytics, product, and business teams.

Qualifications

• Eight+ years in software or data engineering with production data platforms at scale.
• Experience delivering large cross-team data systems from unclear requirements through production operation.
• Advanced Python and SQL skills with deep ETL/ELT experience.
• Deep experience with Airflow or Managed Workflows for Apache Airflow.
• Strong knowledge of reliability concepts like idempotency, backfills, schema evolution, late-arriving data, and quality checks.
• Hands-on with Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL.
• Experience building governance capabilities and reusable frameworks, plus CI/CD and code review practices.
• Ability to mentor, build alignment across teams, and communicate decisions via designs and incident reports.

Responsibilities

• Architect ingestion pipelines, orchestration, and data delivery systems; write design guidance for others to implement.
• Establish reusable standards for pipelines, Airflow workflows, testing, monitoring, and data catalog registration.
• Investigate and fix integrity, performance, and reliability issues; automate recurring failures into runbooks.
• Define reliability goals and alerting practices; improve on-call health and reduce operational toil.
• Set data security and governance practices, including access controls, masking, classification, and lineage.
• Design integrations for reverse ETL and downstream delivery, defining service expectations and failure handling.
• Guide platform choices and cost planning across data and cloud services; review high-risk changes.
• Collaborate with analytics, product, data science, and business partners; mentor engineers and shape technical direction.

Skills

Python

SQL

Airflow

ETL/ELT

Data governance

Cloud/WLat

CI/CD

Mentoring

Reliability

Tools

Snowflake

Databricks

AWS

dbt

Tableau

MongoDB

PostgreSQL

Job description

fanaticsfbg is seeking a Senior Data Engineer to set the technical direction for a data platform that ingests data from source systems into reliable, decision-ready data. You will own architecture across ingestion, orchestration, governance, and delivery, solving complex problems beyond runbooks.

You will lead the creation of reusable standards, drive reliability improvements, and mentor engineers while partnering with analytics, product, and business teams.