AWS Data Architect

Introduction to the Role We are seeking an experienced Data Architect with 10-18 years of expertise in data architecture, engineering, and analytics. The role demands deep knowledge of modern data platforms, cloud technologies, and big data frameworks to design scalable, secure, and high-performing data solutions. Accountabilities Design and implement scalable data architecture solutions across cloud and hybrid environments. Leverage Databricks for data processing, analytics, and machine learning workflows. Collaborate with engineering and business teams to translate requirements into data models and pipelines. Orchestrate and monitor ETL workflows using Apache Airflow. Ensure data security, compliance, and governance standards are met. Optimize data storage, processing, and querying for performance and cost efficiency. Provide technical leadership and mentor teams on data best practices. Essential Skills / Experience 10+ years in data architecture and analytics. Strong expertise in Databricks. Proficiency with at least one cloud platform (AWS, Azure, or GCP) and integrating Databricks with them. Solid understanding of data engineering, ETL, and data modelling principles. Advanced SQL for querying, transformation, and analysis. Proficiency in Python for scripting, automation, and data manipulation. Strong hands-on experience with Apache Airflow for workflow orchestration. Familiarity with big data technologies (Spark, Hadoop, etc.). Knowledge of data warehousing concepts and best practices. Proficiency in version control systems (Git). Excellent communication and collaboration skills. Desirable Skills / Experience Relevant certifications in Databricks and cloud platforms. Experience defining data governance frameworks. Exposure to advanced ML/AI use cases with Databricks. Hands-on work with containerization/orchestration tools (Docker, Kubernetes). Work Environment & Collaboration: We value a hybrid, collaborative environment that encourages shared learning and innovation. You will work closely with product owners, architects, analysts, and data scientists across geographies to solve real-world business problems using cutting-edge technologies and methodologies. We encourage flexibility while maintaining a strong in-office presence for better team synergy and innovation. About Agilisium - Agilisium is a Life Sciences Industry's Premier Autonomous Agentic AI Services Company for "Reimagining, developing, and co-developing AI-engineered business processes that are autonomous, scalable, and built for Life Sciences." Agilisium delivers AI services for life sciences, helping pharma reimagine how therapies are discovered, developed, and delivered. We build domain-infused, agentic AI solutions across R&D, Clinical, and Commercial to automate workflows and enhance oversight. Everest Group - Recognized as a Leader in Life Sciences Digital Services for the Mid-Market Inc. 5000 - Featured among the fastest-growing companies in the U.S. for 9 consecutive years AWS Advanced Consulting Partner - one of the Top 13 companies globally to hold both GenAI and Life Sciences Competency Badges Recognized by AIM Research as one of the top companies for women in tech to work for. Trusted by Fortune 500 Pharma - Partnering with several Top 10 global Life Sciences companies Agilisium continues to invest in top-tier talent to fuel innovation, scalability, and impact across the Life Sciences value chain.