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.
Databricks Architect
Job not on LinkedIn
🕒 September 6, 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 end-to-end Lakehouse architecture on Databricks using best practices • Lead development of enterprise-grade data pipelines, ETL frameworks, and real-time streaming applications • Guide and mentor developers and junior engineers • Collaborate with stakeholders to translate requirements into scalable solutions • Optimize performance and cost efficiency in large-scale data systems • Oversee integration with upstream and downstream systems (Power BI, Kafka, Snowflake, etc.)
🎯 Requirements
• 8+ years of experience • Strong architecture-level experience with Databricks and Apache Spark • Expertise in Delta Lake and data engineering patterns • Solid understanding of cloud architecture (Azure/AWS/GCP) • Hands-on with DevOps/CI-CD, infrastructure-as-code (Terraform/ARM), Git • Excellent problem-solving skills and stakeholder communication
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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