Senior Data Engineer, Ads Data
New
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Life360Advertising data
Remote, USA; Remote, Canada. All positions, unless otherwise specified, can be performed remotely (within the US and Canada).Full-TimeSenior
Salary129,000 - 192,000 USD per year
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Job Details
- Experience
- 5+ years of experience in data engineering building production data platforms at enterprise scale
- Required Skills
- AWSPythonSQLAirflowSparkCI/CDTerraformdbtDatabricks
Requirements
- Bring 5+ years of data engineering experience building production data platforms at enterprise scale.
- Demonstrate ownership of data products and cross-functional collaboration.
- Have deep hands-on Apache Spark expertise, including partitioning, shuffle behavior, joins, skew handling, caching, and job tuning.
- Know Databricks, including Delta Lake, Unity Catalog, Jobs/Workflows, Databricks Asset Bundles, Structured Streaming, and SQL Warehouses.
- Have strong SQL and Python or Scala skills for pipeline development, automation, and query optimization.
- Have production dbt experience with model design, testing, documentation, and incremental strategies in CI/CD workflows.
- Have hands-on Terraform experience and AWS experience, including S3, IAM, and networking fundamentals for data platforms.
- Have experience with orchestration frameworks such as Airflow or Databricks Workflows, Git, CI/CD, and observable pipelines.
- Understand dimensional modeling, star schemas, and medallion architecture; have experience with semantic layers or metric definitions.
- Be experienced in inheriting, refactoring, and improving existing data models and pipelines.
- Have experience using AI/LLM coding assistants, with careful review, testing, and ownership of generated code.
- Have business acumen and communication skills to translate stakeholder needs into data products and explain technical concepts to non-technical audiences.
- Be familiar with data governance and compliance requirements, including GDPR, CCPA, and SOX, and BI tools such as Domo, Tableau, or Looker.
- Have a bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.
- Prior advertising, ad tech, or media data experience is preferred.
Responsibilities
- Enhance and operate batch and streaming pipelines and Delta Lake tables on Databricks.
- Partner with analysts, ad strategists, and sales to turn business questions into data products and reporting.
- Build and maintain dbt models and tests for curated Silver and Gold datasets.
- Own the semantic layer and core business metrics.
- Manage Databricks and AWS infrastructure as code with Terraform.
- Integrate and reconcile data from ad platforms, CRM, partner feeds, and internal systems.
- Implement data quality tests, monitoring, lineage, SLAs, alerting, and data contracts; lead root-cause analysis when data breaks.
- Tune Spark and Databricks workloads for performance and cost.
- Establish engineering practices for version control, CI/CD, code review, testing, and documentation; mentor engineers and help shape the technical roadmap.
- Apply data governance, privacy, and access controls, and create tools, skills, and agents that support LLM development.
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