{"id":2594117,"url":"https://alion.io/job/r-systems-international-data-architect","title":"Data Architect","company":{"id":408,"name":"R Systems International","domain":"rsystems.com","url":"https://alion.io/company/r-systems-international","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-15T05:04:35Z","employer_posted_date":null,"last_verified_at":"2026-10-15T05:04:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role : Data Architect - AWS\n\nAbout the Role : \n\nWe are seeking an experienced Data Architect with strong expertise in Amazon Web Services (AWS) to design and implement scalable, secure, and high-performance data platforms. The ideal candidate will have experience in enterprise data architecture, cloud data solutions, data modelling, and modern data engineering practices.\n\nKey Responsibilities : \n\n- Design end-to-end data architecture and cloud data solutions using AWS.\n\n- Architect data lakes, data warehouses, and lakehouse platforms using AWS services.\n\n- Design scalable data ingestion, transformation, and processing pipelines for batch and real-time workloads.\n\n- Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, Lambda, Kinesis, and Lake Formation.\n\n- Define data modelling, data integration, storage, and performance optimization strategies.\n\n- Establish data governance, security, encryption, access controls, and compliance standards.\n\n- Drive architecture reviews, technology selection, and implementation of data architecture best practices.\n\n- Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into technical solutions.\n\n- Optimize data platform performance, reliability, scalability, and cloud costs.\n\nRequired Skills and Qualifications : \n\n- 10 - 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