Job Title

We are seeking an experienced AWS Data Architect to design, build, and optimize scalable data solutions on Amazon Web Services (AWS). The ideal candidate will have deep expertise in cloudbased data architectures, data lakes, data warehouses, streaming platforms, and advanced analytics, along with the ability to translate business requirements into secure, highperformance data solutions. Key Responsibilities Design and implement endtoend data architectures on AWS, including data ingestion, storage, processing, and analytics Architect and optimize data lakes and data warehouses using services such as Amazon S3, Redshift, Glue, Athena, and Lake Formation Define data models and standards for structured, semistructured, and unstructured data Build scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, EMR, or Apache Spark Design and support realtime and batch data processing using Kinesis, MSK, or similar streaming tools Ensure solutions follow AWS WellArchitected Framework best practices (security, performance, cost optimization, reliability) Collaborate with stakeholders, data engineers, analysts, and application teams to align architecture with business objectives Implement data governance, security, encryption, and IAM policies Guide cloud cost optimization strategies and monitor performance Provide technical leadership, architecture reviews, and mentorship to engineering teams Support cloud migrations from onprem or other platforms to AWS Required Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field 8+ years of experience in data engineering or data architecture 5+ years of handson experience with AWS cloud services Strong expertise in: Amazon S3, Redshift, Glue, Athena EMR, Lambda, Step Functions Kinesis / MSK (streaming) Proficiency in SQL and one or more programming languages (Python, Java, or Scala) #J-18808-Ljbffr