Aptus Data Labs
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
Aptus Data Labs is a data engineering and enterprise AI company that builds scalable AI platforms, generative intelligence solutions, and data modernization services for large organizations. The company delivers industry-focused AI and analytics products (including aptplan, aptGenAI and other platforms) and services—covering advisory, cloud migration, MLOps/LLMOps, AI governance, and on-demand talent—to help pharmaceutical, banking, manufacturing, retail and other enterprises accelerate decision-making, compliance, and operational efficiency. Aptus partners with cloud and AI providers, offers pre-built accelerators and IP, and focuses on B2B deployments and enterprise-scale SaaS solutions.
Senior Data Engineer – Databricks
Job not on LinkedIn
🕒 July 12, 2025
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Aptus Data Labs
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
Aptus Data Labs is a data engineering and enterprise AI company that builds scalable AI platforms, generative intelligence solutions, and data modernization services for large organizations. The company delivers industry-focused AI and analytics products (including aptplan, aptGenAI and other platforms) and services—covering advisory, cloud migration, MLOps/LLMOps, AI governance, and on-demand talent—to help pharmaceutical, banking, manufacturing, retail and other enterprises accelerate decision-making, compliance, and operational efficiency. Aptus partners with cloud and AI providers, offers pre-built accelerators and IP, and focuses on B2B deployments and enterprise-scale SaaS solutions.
📋 Description
• Design, implement, and optimize scalable data pipelines using Databricks and Apache Spark • Architect data lakes using Delta Lake, ensuring reliable and efficient data storage • Manage metadata, security, and lineage through Unity Catalog for governance and compliance • Ingest and process streaming data using Apache Kafka and real-time frameworks • Collaborate with ML engineers and data scientists on LLM-based AI/GenAI project pipelines • Apply CI/CD and DevOps practices to automate data workflows and deployments (e.g., with GitHub Actions, Jenkins, Terraform) • Optimize query performance and data transformations using advanced SQL • Implement and uphold data governance, quality, and access control policies • Support production data pipelines and respond to issues and performance bottlenecks • Contribute to architectural decisions around data strategy and platform scalability
🎯 Requirements
• 5+ years of experience in data engineering roles • Proven expertise in Databricks, Delta Lake, and Apache Spark (PySpark preferred) • Deep understanding of Unity Catalog for fine-grained data governance and lineage tracking • Proficiency in SQL for large-scale data manipulation and analysis • Hands-on experience with Kafka for real-time data streaming • Solid understanding of CI/CD, infrastructure automation, and DevOps principles • Experience contributing to or supporting Generative AI / LLM projects with structured or unstructured data • Familiarity with cloud platforms (AWS, Azure, or GCP) • Strong problem-solving, debugging, and system design skills • Excellent communication and collaboration abilities in cross-functional teams.
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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