Aws Data Architect

Position: AWS DATA ARCHITECT
Calling AWS Data Architects

If you love designing scalable data systems and solving complex problems, Agilisium might be the place for your next move.

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  AWS cloud platform  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  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).

--