StrongDM is hiring a
Lead Data Engineer

Summary

Join StrongDM as a Principal Data Engineer to design and implement data architectures that support diverse use cases, AI/ML to business intelligence (BI).

Requirements

• Strong knowledge of big data processing frameworks and data streaming technologies
• Experience collaborating with AI/ML teams, building data pipelines that feed AI models, and ensuring data readiness for machine learning workflows
• Proven experience in architecting and building data lakes on cloud platforms (AWS, Azure, GCP)
• In-depth knowledge of Apache Iceberg, Apache Parquet, and other open standards for efficient data storage and query optimization
• Expertise in using compute engines such as Apache Spark, Dremio, Presto, or similar, with hands-on experience in optimizing them for business intelligence and AI workloads
• Proven track record of leading large-scale data engineering projects and mentoring teams
• Proficiency in languages such as Python, Java, or Scala, and SQL for querying and managing large datasets
• Previous experience working directly with AI or machine learning teams preferred
• A deep understanding of distributed systems and the challenges of scaling data infrastructure in large, dynamic environments preferred
• Familiarity with modern data warehousing solutions such as Snowflake or Redshift preferred

Responsibilities

• Design and Architect Cloud Data Lakes
• Implement and manage tabular formats like Apache Iceberg, Parquet, and other open standards to efficiently store and process large datasets
• Architect and build large-scale, highly available data platforms that support real-time analytics, reporting, and AI workloads
• Leverage various compute engines (e.g., Apache Spark, Dremio, Presto, Trino) to support complex business intelligence and AI use cases, optimizing performance and cost-efficiency
• Work closely with AI and machine learning teams to design data pipelines that enable AI model training, deployment, and real-time inference
• Establish best practices for data governance, ensuring data quality, security, and compliance with industry regulations
• Provide technical leadership to data engineering teams and mentor junior engineers, fostering a culture of continuous learning and innovation

Benefits

• Medical, dental, and vision insurance (free to employees and dependents)
• 401K, HSA, FSA, short/long-term disability coverage, life insurance
• 6 weeks of combined accrued vacation + sick time
• Volunteer days + standard holidays
• 24 weeks paid parental leave for everyone + 1 month transition time back + childcare stipend for first year
• Generous monthly and annual stipend for internet + home office