Data Architect - AWS Cloud

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 environments.

Key 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 requirements.

Technical 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 policies.

Qualifications :

- 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 skills.

Preferred 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