AWS Data Architect - Senior Position
About the Role
We are seeking an experienced AWS Data Architect to lead our clients' digital transformation through innovative cloud data solutions. In this strategic position, you will be the principal architect of enterprise data ecosystems, designing scalable solutions that drive data-driven decision making.
Key Responsibilities
Architecture & Design
Design end-to-end data architectures using AWS native services
Create reusable blueprints and reference patterns for data solutions
Establish data governance standards and security best practices
Evaluate and recommend emerging technologies within the AWS ecosystem
Technical Leadership
Mentor data engineering teams on complex implementations
Lead architectural review sessions and technical validation
Collaborate with solution architects to integrate data capabilities
Facilitate technical workshops with key stakeholders
Consulting & Client Engagement
Act as senior technical consultant on digital transformation projects
Present technical solutions to C-level executives and decision makers
Develop technology roadmaps aligned with business objectives
Participate in full pre-sales and delivery lifecycle
Required Technical Profile
Core AWS Competencies
Storage Services : S3, EFS, FSx with lifecycle strategies
Processing : EMR, Glue, Batch, ECS/EKS for data workloads
Analytics : Athena, QuickSight, OpenSearch, Kinesis Analytics
Databases : RDS, Aurora, DynamoDB, Redshift, Neptune
ML/AI : SageMaker, Bedrock, Comprehend, Rekognition
Big Data Expertise
Advanced proficiency in Apache Spark (Scala/Python/Java)
Experience with Hadoop ecosystem (HDFS, Hive, HBase, Oozie)
Knowledge of streaming platforms : Kafka, Kinesis, MSK
Experience with modern data warehousing (dbt, Snowflake as plus)
DevOps & Automation
IaC : Terraform, CloudFormation, CDK (preferably Python/TypeScript)
CI/CD : GitLab CI, GitHub Actions, CodePipeline
Containerization : Docker, Kubernetes, ECS/EKS
Monitoring : CloudWatch, Grafana, Prometheus, Datadog
Modern Architectures
Experience implementing Data Mesh and Data Fabric
Knowledge of Event-Driven Architecture with EventBridge
Familiarity with Microservices and Serverless patterns
Experience with Real-time analytics and CDC patterns
Additional Valued Competencies
AWS Certifications : Solutions Architect Professional, Data Analytics Specialty
Programming Languages : Python (advanced), Scala, Java, R
Orchestration Tools : Airflow, Step Functions, Prefect
Industry Experience : Fintech, Healthcare, Retail, Manufacturing
Methodologies : Agile, DataOps, MLOps
Essential Soft Skills
Excellent technical communication and presentation skills
Ability to translate business requirements into technical solutions
Technical leadership and team mentoring capabilities
Strategic thinking and architectural vision
Adaptability to high-velocity, constantly changing environments
What We Offer
Participation in large-scale digital transformation projects
Access to cutting-edge technologies and continuous AWS training
Certification opportunities and professional development
Culture of innovation and experimentation
Hybrid work model with remote flexibility
Experience Requirements
Minimum 5 years of data architecture experience
At least 3 years of specific AWS experience
Proven experience in cloud migration projects
Track record of leading multidisciplinary technical teams
Fluent English (oral and written) for global team collaboration