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 implementationsLead architectural review sessions and technical validationCollaborate with solution architects to integrate data capabilitiesFacilitate technical workshops with key stakeholdersConsulting & Client Engagement
Act as senior technical consultant on digital transformation projectsPresent technical solutions to C-level executives and decision makersDevelop technology roadmaps aligned with business objectivesParticipate in full pre-sales and delivery lifecycleRequired Technical Profile
Core AWS Competencies
Storage Services : S3, EFS, FSx with lifecycle strategiesProcessing : EMR, Glue, Batch, ECS / EKS for data workloadsAnalytics : Athena, QuickSight, OpenSearch, Kinesis AnalyticsDatabases : RDS, Aurora, DynamoDB, Redshift, NeptuneML / AI : SageMaker, Bedrock, Comprehend, RekognitionBig Data Expertise
Advanced proficiency in Apache Spark (Scala / Python / Java)Experience with Hadoop ecosystem (HDFS, Hive, HBase, Oozie)Knowledge of streaming platforms : Kafka, Kinesis, MSKExperience with modern data warehousing (dbt, Snowflake as plus)DevOps & Automation
IaC : Terraform, CloudFormation, CDK (preferably Python / TypeScript)CI / CD : GitLab CI, GitHub Actions, CodePipelineContainerization : Docker, Kubernetes, ECS / EKSMonitoring : CloudWatch, Grafana, Prometheus, DatadogModern Architectures
Experience implementing Data Mesh and Data FabricKnowledge of Event-Driven Architecture with EventBridgeFamiliarity with Microservices and Serverless patternsExperience with Real-time analytics and CDC patternsAdditional Valued Competencies
AWS Certifications : Solutions Architect Professional, Data Analytics SpecialtyProgramming Languages : Python (advanced), Scala, Java, ROrchestration Tools : Airflow, Step Functions, PrefectIndustry Experience : Fintech, Healthcare, Retail, ManufacturingMethodologies : Agile, DataOps, MLOpsEssential Soft Skills
Excellent technical communication and presentation skillsAbility to translate business requirements into technical solutionsTechnical leadership and team mentoring capabilitiesStrategic thinking and architectural visionAdaptability to high-velocity, constantly changing environmentsWhat We Offer
Participation in large-scale digital transformation projectsAccess to cutting-edge technologies and continuous AWS trainingCertification opportunities and professional developmentCulture of innovation and experimentationHybrid work model with remote flexibilityExperience Requirements
Minimum 5 years of data architecture experienceAt least 3 years of specific AWS experienceProven experience in cloud migration projectsTrack record of leading multidisciplinary technical teamsFluent English (oral and written) for global team collaboration