🔹 Job Title: Head Data Platform 📍 Location: Remote - 100% 📅 Experience: 12–18+ Years 📄 Employment Type: Full-Time 🚀 About the Role Aptus Data Labs is looking for an exceptional Data Platform Lead to architect and lead the development of our enterprise-grade cloud-native data platform. You’ll own the data foundation that fuels our enterprise AI strategy—partnering closely with the AI Lead and reporting directly to the CIO. If you’re a hands-on leader who thrives in building scalable data lake/lakehouse platforms, enabling high-performance analytics, and driving governance in AWS environments—this role is for you. 🎯 Key Responsibilities 🏗️ Data Platform Architecture & Engineering Lead the design and implementation of robust, scalable data lake and lakehouse solutions using AWS services (Redshift, Glue, S3, Lake Formation, IAM). Architect and optimize secure, reusable ETL/ELT pipelines using Glue, Python, Databricks, and other modern data tools. Oversee seamless integration of the data platform with enterprise applications, upstream sources, and AI/ML pipelines. Enable platform readiness for diverse data types—structured, semi-structured, and unstructured. 🔐 Data Governance & Security Define and enforce data governance practices including data lineage, classification, quality, access policies, and stewardship. Ensure platform security and regulatory compliance (e.g., GxP, HIPAA) with audit-ready controls and collaboration with InfoSec. Manage IAM roles, encryption, logging, and monitoring for platform reliability and integrity. 🤝 Leadership & Collaboration Work directly with the CIO and AI Lead to align data platform initiatives with business and AI strategy. Mentor and guide data engineers and platform developers; foster best practices in design, DevOps, and reusability. Act as the go-to technical leader for platform architecture across business, analytics, and IT teams. ⚙️ Innovation & Optimization Evaluate and integrate emerging data tools (Databricks, OpenSearch, AWS DataZone, etc.) to improve performance, cost-efficiency, and scalability. Drive CI/CD enablement using GitHub Actions, Jenkins, or AWS-native pipelines for faster, stable deployments. Create observability frameworks to monitor data pipeline health, detect anomalies, and ensure SLA adherence. ✅ Required Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 12–18 years of experience in data platform, data engineering, or architecture leadership roles. Hands-on expertise in AWS services: Redshift, Glue, Lake Formation, S3, IAM, CloudWatch, Kinesis. Strong experience in Python, SQL, and orchestration tools (Airflow, Step Functions). Familiarity with Databricks, Spark, and distributed computing. Proven track record in data governance, metadata management, and regulatory alignment. Experience with Git-based CI/CD and containerized environments. 🌟 Preferred Skills Background in regulated domains like Pharmaceutical or Life Sciences (GxP, HIPAA). Exposure to enterprise integration platforms like Boomi. Experience with BI tool integration (Power BI, QuickSight). Strong communication and stakeholder alignment capabilities. 🔗 Apply now and become the architect of data innovation at Aptus Data Labs. Help us empower global enterprises through the intersection of data, AI, and cloud. Show more Show less