{"id":3379524,"url":"https://alion.io/job/tech-mahindra-data-architect-2","title":"Data Architect","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":116000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Hadoop","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"closed","first_seen_at":"2026-10-28T04:13:20Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T15:14:10Z","board_verified":false,"closed_at":"2026-10-29T15:14:10Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nAWS Architecture\n\nTotal Experience :\n10.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n27/07/2026\n\nJob Expiry Date :\n31/10/2026\n\nDomain :\nIT\n\nLocation :\nRIYADH [Saudi Arabia]\n\nJob Reference No :\n4098072\n\nJob Summary\nJob Title: Data Engineer\nLocation: TechM SAU Riyadh\nYears of Experience: 15+ Years\nJob Summary:\nWe are seeking a highly skilled Data Engineer with over 15 years of experience to join our dynamic team in Riyadh. The ideal candidate will possess extensive knowledge of AWS Architecture and will be responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires a deep understanding of data engineering principles and the ability to work collaboratively with cross functional teams to deliver high quality data solutions.\nResponsibilities:\nDesign, develop, and implement robust data pipelines and ETL processes using AWS services.\nArchitect and maintain data storage solutions, ensuring data integrity and accessibility.\nCollaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.\nOptimize data processing workflows for performance and cost efficiency.\nMonitor and troubleshoot data pipeline performance and reliability issues.\nImplement data governance and security best practices to protect sensitive information.\nStay updated with the latest AWS services and data engineering trends to continuously improve our data architecture.\nMandatory Skills:\nStrong expertise in AWS Architecture, including services such as S3, Redshift, Glue, Lambda, and EMR.\nProficient in data modeling, ETL processes, and data warehousing concepts.\nExperience with programming languages such as Python, Java, or Scala.\nSolid understanding of SQL and NoSQL databases.\nExperience with data pipeline orchestration tools like Apache Airflow or AWS Step Functions.\nStrong analytical and problem solving skills.\nPreferred Skills:\nFamiliarity with big data technologies such as Apache Spark, Kafka, or Hadoop.\nExperience with data visualization tools like Tableau or Power BI.\nKnowledge of machine learning concepts and frameworks.\nExperience in Agile methodologies and DevOps practices.\nQualifications:\nBachelor's degree in Computer Science, Information Technology, or a related field.\n15+ years of experience in data engineering or related roles.\nAWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics) are a plus.\nExcellent communication and interpersonal skills.\nAbility to work independently and as part of a team in a 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