Alight Solutions

Senior Data Architect

Alight Solutions

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSCloudETLHadoopJavaKafkaOraclePythonScalaSparkSQLTerraform

About the role

  • Design and define data architecture blueprints, data flow diagrams, system integrations, and storage solutions
  • Lead development of cloud-based data platform on AWS using services like AWS Glue, Lambda, Redshift, and S3
  • Implement data pipelines and warehouses to support AI, automation, analytics & reporting
  • Oversee ingestion and optimization of large-scale datasets and migrate legacy Hadoop-based data into AWS
  • Develop and maintain conceptual, logical, and physical data models for databases and data lakes
  • Enable data science and analytics teams by creating pipelines for ML models and handling streaming data
  • Optimize ETL/Spark jobs, implement incremental loading strategies, and ensure scalability and reliability
  • Embed data governance, implement data cataloging, lineage tracking, access controls, encryption, and retention policies
  • Collaborate with technology leadership, product managers, business analysts and engineering leads
  • Provide technical leadership to data engineers, conduct design/code reviews, and lead architecture review sessions
  • Evaluate new technologies, pilot proof-of-concepts, and provide thought leadership on data strategy

Requirements

  • 10+ years (preferred 15+ years) of experience in data architecture, data engineering, or related fields
  • Demonstrated experience leading data-centric projects from concept to production
  • Hands-on expertise with AWS data services – especially AWS Glue, Lambda, Redshift, and S3
  • Strong experience with big data technologies including Hadoop and Spark
  • Exceptional skills in data modeling and database design
  • Deep understanding of SQL and proficiency in writing and tuning complex queries
  • Proficiency in programming for data engineering – Python (or Scala/Java) for ETL/ELT scripting
  • Experience with infrastructure-as-code (Terraform/CloudFormation) and CI/CD pipelines is a plus
  • Knowledge of machine learning concepts and experience supporting data science teams
  • Experience with real-time data streaming and processing (Kinesis, Kafka, or similar) is a plus
  • Excellent communication skills and experience collaborating in cross-functional teams
  • Bachelor’s degree in Computer Science, Information Systems, or a related field required
  • (Preferred) AWS Certified Solutions Architect or AWS Certified Data Analytics certification
  • Applicants must have work authorization that does not now or in the future require sponsorship of a visa