Data Architect - AWS

Job Summary :

We are seeking a highly skilled and experienced Data Architect to join our growing data engineering team for a global consulting firm.

The ideal candidate will have a strong background in cloud data architecture, particularly on AWS, and be proficient in building scalable data pipelines, real-time processing systems, and enterprise-grade data lakes and warehouses.

You will be responsible for leading the design, development, and deployment of robust, secure, and efficient data solutions across large-scale Responsibilities :

• Design and implement end-to-end cloud-native data architectures on AWS to support large-scale data ingestion, transformation, and analytics.
• Build scalable and maintainable data pipelines using tools such as AWS Glue, Apache Airflow, Lambda, and Talend.
• Architect and manage data warehouses and data lakes using technologies like Amazon Redshift, S3, and Lake Formation.
• Develop and maintain real-time and batch processing pipelines using frameworks like PySpark and Kafka (optional).
• Collaborate with data engineers, analysts, and business stakeholders to translate business needs into technical requirements and scalable data models.
• Optimize and monitor performance, reliability, and security of data solutions.
• Establish data governance, quality standards, and best practices.
• Drive automation and CI / CD practices for data infrastructure using Git and other DevOps tools.
• Mentor junior engineers and participate in architecture reviews and code walkthroughs.
• Ensure compliance with data security, privacy, and regulatory Skills & Tools :
• Cloud Platforms : Deep hands-on experience with AWS (EC2, S3, Lambda, Redshift, Glue, IAM, CloudWatch).
• Data Engineering Tools : Glue, Talend, Apache Airflow, AWS Data Pipeline.
• Programming & Scripting : Expert-level in SQL, Python (Pandas, Boto3, etc.), PySpark.
• Data Storage & Warehousing : Amazon Redshift, S3, RDS, Aurora, Lake Formation.
• Data Processing : Real-time (Kinesis, Kafka preferred), Batch (Glue, EMR, Spark).
• Version Control / DevOps : Git, GitHub / Bitbucket, CI / CD pipelines (CodePipeline, Jenkins nice to have).
• Visualization & BI (optional) : QuickSight, Power BI, Tableau good to have.
• Security & Compliance : IAM, encryption, data masking, secure access :
• Bachelors or higher degree in Computer Science, Data Engineering, Information Technology, or a related field.
• 5+ years of proven experience in cloud data engineering, data architecture, and data platform design.
• AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Associate / Professional is highly desirable.
• Strong understanding of data architecture principles, data lifecycle, and metadata management.
• Excellent communication, problem-solving, and collaboration Qualifications :
• Experience in consulting or global service delivery environments.
• Exposure to multi-cloud environments (Azure, GCP nice to have).
• Experience with data governance frameworks and enterprise data catalog tools.
• Familiarity with Agile / Scrum methodologies

(ref : hirist.tech)