Job description

About the Role:

We are looking for a skilled and experienced Data Architect with strong knowledge of AWS cloud services to join our team. This role involves designing scalable, secure, and high-performance data solutions in a cloud-native environment. You'll work closely with data engineers, analysts, and business stakeholders to create modern data platforms that support analytics, reporting, and AI/ML initiatives.

Key Responsibilities:

• Design and implement cloud-native data architecture using AWS services

• Define data models, architecture standards, and best practices for data pipelines, storage, and security

• Collaborate with stakeholders to understand business and technical requirements

• Guide development of data lakes, data warehouses, and real-time data streaming systems

• Ensure compliance with data governance, security, and privacy standards

• Evaluate and recommend appropriate AWS services and tools

• Support the development and review of ETL/ELT processes

• Provide technical leadership to data engineering teams

Requirements:

• Proven experience as a Data Architect, Cloud Architect, or Senior Data Engineer with architectural responsibilities

• Expertise in AWS cloud services (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis, Lake Formation)

• Strong knowledge of data modeling, ETL/ELT, and data warehousing concepts

• Experience designing and implementing data lakes and modern data platforms

• Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)

• Experience with SQL and at least one scripting/programming language (e.g., Python)

• Understanding of data governance, compliance, and security standards

• Excellent communication skills in English

Nice to Have:

• Experience with Snowflake, Databricks, or similar platforms

• Knowledge of machine learning workflows and MLOps

• Familiarity with data mesh or event-driven architectures