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About The Job
We have an excellent opportunity for an experienced AWS Data Architect to join our growing AWS Services team and help drive our expansion as a leading global AWS Partner. You’ll lead the design and delivery of scalable, cloud-native data platforms that support analytics, AI, and ML use cases. This role combines technical leadership with hands-on delivery across the full engagement lifecycle—from pre-sales and architecture through to implementation and handover. You’ll mentor others, lead strategic projects, and act as a trusted advisor to our clients. You should have 5+ years’ experience in technical consulting or solution architecture, with a proven track record in AWS-centric data solutions. Expertise in data lakes, warehousing, and pipelines is essential, with a strong understanding of cloud data governance. Familiarity with ML architectures and tools like Amazon SageMaker and Bedrock is a plus.
Responsibilities
1. Deliver consultancy engagements by gathering requirements, analyzing data, and proposing cloud-native solutions.
2. Manage the assessment, design, and implementation of solutions.
3. Ensure high-quality delivery of all consultancy work, adhering to best practices.
4. Highlight technical risks to minimize exposure to commercial loss.
5. Design and implement secure, high-performance AWS data platforms aligned with business needs.
6. Build data models, ETL/ELT pipelines, and integration solutions using modern tools.
7. Align data architectures with customer objectives, AWS well-architected principles, and industry standards.
8. Lead end-to-end data engineering initiatives from discovery to deployment.
9. Collaborate with cross-functional teams for successful project delivery.
10. Create and maintain documentation on data architectures and processes.
11. Ensure smooth knowledge transfer and operational handover.
12. Provide support to stakeholders and lead technical workshops to shape solutions.
Required Skills and Experience
* AWS Data Engineer Associate Certification
* AWS Machine Learning Specialty Certification
* AWS Solutions Architect Professional Certification
* Experience in data architecture/engineering and designing cloud-native data platforms
* Experience delivering complex AWS solutions, including data lakes and pipelines
* Proficiency in AWS services such as S3, Glue, Redshift, EMR, Lambda, RDS
* Strong data modeling skills, including OLAP/OLTP and schema design
* Experience building ETL/ELT workflows with Glue, dbt, and orchestration tools like Airflow
* Proficiency in Python, SQL, PySpark, and Spark
* Knowledge of streaming technologies like Kafka or Kinesis
* Ability to optimize data solutions for speed, scale, security, and cost
* Knowledge of MLOps pipelines, e.g., SageMaker
* Familiarity with ML architectures and foundation models
Additional Information
Our team values customer focus and seeks motivated individuals eager to succeed. We offer a competitive salary, commission, market-leading incentives, and clear career development pathways. Full training on our products and access to extensive learning resources are provided.
Job Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Engineering and Information Technology
* Industries: IT Services and IT Consulting
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