Director of Data Engineering

Emploi pas sur LinkedIn

🕒 il y a 9 jours

🌪️ Kansas – Distant

🌪️ Kansas – Remote

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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Solvd US

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2015

Solvd US redéfinit la gestion des sinistres Auto & Propriété grâce à une combinaison d'innovation en IA, de technologie propriétaire et de services dirigés par des experts qui offrent des résultats mesurables pour les assureurs, les flottes, les loueurs, les TPA/MGA et les industries adjacentes.

Description

• Define and maintain the architecture for the company’s data lake and data warehouse • Own the technical direction and standards for data ingestion, transformation, and storage • Ensure data quality, reliability, security, and governance across the data platform • Manage, mentor, and develop a team of data analysts and data engineers • Set technical expectations, development standards, and operational practices • Review designs, implementations, and analytics deliverables • Work with an external partner to design and implement the initial data infrastructure • Oversee knowledge transfer and transition to internal ownership • Collaborate with application engineering, DevOps, and business teams to align data solutions with organizational needs • Design and manage data pipelines that ingest data from multiple internal and external data sources in various formats • Integrate and consume data from external platforms, including Databricks-based systems • Support analytics and reporting use cases through curated datasets and data models • Enable self-service analytics and reporting using Amazon QuickSight • Build and operate data infrastructure on AWS, including S3, Glue, Athena, and Redshift or PostgreSQL • Implement and maintain infrastructure as code using AWS CloudFormation • Ensure deployments, monitoring, and operational processes are automated and repeatable • Support AI and machine learning initiatives through data preparation and feature engineering • Evaluate future technologies and platforms, including Databricks, as potential components of the data ecosystem.

🎯 Exigences

• Bachelor’s degree in Computer Science , Engineering, Data Science, or equivalent experience • 8+ years of relevant professional experience • 3+ years of people leadership experience • Strong experience in data engineering and data warehousing architecture • Experience ingesting , transforming, and modeling data from multiple data sources and formats • Hands-on experience with AWS data services (S3, Glue, Athena) • Experience with data warehouses such as Amazon Redshift and/or PostgreSQL • Experience implementing infrastructure as code using AWS CloudFormation • Proficiency in SQL • Experience leading technical teams • Experience integrating with external data platforms or vendor-managed data systems (e.g., Databricks) • Python for data processing, automation, or analytics • Familiarity with .NET-based application environments • Knowledge of AI/ML concepts and model development workflows • Experience with CI/CD pipelines and cloud security best practices.

🏖️ Avantages

• Comprehensive benefits, including health, dental, and vision insurance. • 401(k) plan options • Paid time off, sick time, and paid holidays. • A fully remote work environment with flexibility and autonomy. • The opportunity to grow with a dynamic, innovative team in a startup-like culture.