{"id":1171839,"url":"https://alion.io/job/deutsche-telekom-digital-labs-data-architect-2","title":"Data Architect","company":{"id":409,"name":"Deutsche Telekom Digital Labs","domain":"dtdl.in","url":"https://alion.io/company/deutsche-telekom-digital-labs","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":["Gurgaon, 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BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-24T08:10:26Z","employer_posted_date":null,"last_verified_at":"2026-09-24T08:10:26Z","board_verified":false,"closed_at":null,"days_open":25,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":25},"description":"The core responsibilities for the job include the following:\nData Architecture and Modeling:\nDesign and maintain enterprise-wide data models, including conceptual, logical, and physical layers.\nLead data architecture for the Onebot platform and support cross-value-stream data requirements.\nDefine data standards, naming conventions, and modeling best practices.\nEvaluate and recommend appropriate data storage patterns (relational, dimensional, lakehouse, graph).\nData Integration:\nArchitect and oversee data pipelines and ETL/ELT processes across source systems.\nDesign integration patterns for batch, near-real-time, and streaming data flows.\nEnsure robust data lineage, traceability, and auditability across all pipelines.\nCollaborate with engineering teams to implement scalable, resilient integration solutions.\nAnalytics Enablement:\nDevelop semantic and analytical data models that serve BI, reporting, and advanced analytics use cases.\nPartner with analytics and data science teams to define trusted data products.\nChampion a self-service data culture by enabling reusable, well-documented data assets.\nGovernance and Quality:\nDefine and enforce data quality rules, validation frameworks, and remediation processes.\nContribute to data governance policies, data cataloguing, and metadata management.\nWork with stakeholders to manage data contracts and SLAs.\nStakeholder Collaboration:\nAct as a trusted data advisor across multiple value streams and business units.\nFacilitate technical workshops and design reviews with engineering and product stakeholders.\nCommunicate complex data architecture decisions clearly to both technical and non-technical audiences.\nRequirements:\n5+ years of experience in data architecture, data engineering, or a closely related role.\nStrong proficiency in data modeling techniques: relational, dimensional (Kimball/Inmon), and Data Vault.\nHands-on experience with data integration tools and frameworks (e. g., Apache Kafka, dbt, Spark, Talend, or similar).\nSolid understanding of cloud data platforms (AWS, GCP, or Azure) and modern data stack components.\nExperience with SQL at an advanced level and familiarity with Python or Scala for data engineering tasks.\nProven ability to translate business requirements into scalable data architecture solutions.\nPreferred:\nPrior exposure to conversational AI platforms or event-driven architectures.\nExperience working in agile, value-stream-aligned product organizations.\nFamiliarity with data mesh principles and decentralized data ownership models.\nKnowledge of data governance frameworks and metadata management tools (e. g., Collibra, Alation, DataHub).\nExperience with analytical tools such as Looker, Tableau, Power BI, or Metabase.","description_format":"text","description_chars":2720,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Goods"],"lifecycle":[{"event":"open","at":"2026-09-24T08:10:26Z"}],"visa":[],"liveness":{"score":48,"band":"ok","label":"Likely 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