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A leading company seeks an experienced AWS Data Architect to guide digital transformation through innovative data solutions. This senior position requires knowledge of AWS architecture to design scalable data ecosystems and lead technical teams. Effective communication and strategic thinking are essential as the architect will interact with clients and present solutions during the pre-sales process.
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
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
Data Fabric Knowledge of
with EventBridge Familiarity with
Microservices
Serverless patterns Experience with
Real-time analytics
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