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Senior specialized data platform role with moderate metro demand and niche skill requirements.
Deep data platform, warehouse, and cloud expertise required, limiting cross-industry transferability.
Explicit 10+ years plus mandatory cloud, warehouse, and pipeline expertise creates strict shortlisting filters.
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Own technical direction for Lytx's cloud data warehouse and lakehouse platform, balancing performance, cost, and reliability at scale.
Design and deliver data models, pipelines, and storage supporting analytics, reporting, and machine learning.
Lead complex cross-team technical initiatives and improve data quality, governance, and observability.
10+ years of experience in data engineering with large-scale data warehouse or lakehouse platform production experience.
Strong hands-on experience with modern cloud data warehouses (Snowflake, BigQuery, or Redshift), distributed processing (Spark), SQL, Python, and orchestration tools (dbt, Airflow).
Experience operating data infrastructure on major cloud providers (AWS, Azure, or GCP).
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in leading technical projects across multiple teams and influencing architecture without direct authority.
Able to translate complex technical concepts into terms understandable by both engineers and business stakeholders.
Pragmatic approach to engineering decisions, with a focus on scaling effectively while keeping solutions simple where possible.