FULLTIME
AWS Data Architect
Agilisium
Not specified · onsite · Posted 51d ago
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Undisclosed10–18 yrsfulltimeNot specified
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Section · 01
About this role
Introduction to the Role
We are seeking an experienced Data Architect with 1018 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 MLAI use cases with Databricks.
Hands\-on work with containerizationorchestration 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.
AboutAgilisium\-
Agilisium is a Life Sciences IndustryPremier Autonomous Agentic AI Services Company for Reimagining, developing, and co\-developing AI\-engineered business processes that are autonomous, scalable, and built for Life Sciences.