{"id":4220173,"url":"https://alion.io/job/accenture-data-architect-28","title":"Data Architect","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2137,"ghost_share":0.001,"stale_share":0.182,"repost_share":0.007,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India","Gurgaon, India","Chennai, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"Embeddings","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Feature Store","optional":true},{"name":"GCP","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Hadoop","optional":true},{"name":"Informatica","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true},{"name":"Talend","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-13T04:23:42Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Project Role : Data ArchitectProject Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.\nMust have skills : Databricks Unified Data Analytics Platform\nGood to have skills : NA\nMinimum 7.5 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.\nResponsibilities:\nDevelop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.\nExcellent programming and debugging skills in Python.\nStrong hands-on experience with Py Spark to build efficient data transformation and validation logic.\nMust be proficient in at least one cloud platform: AWS, GCP, or Azure.\nCreate modular DBX functions for transformation, PII masking, and validation logic - reusable across DLT and notebook pipelines.\nImplement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.\nBuild secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.\nConfigure Unity Catalog: set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields.\nEnable secure data access across domains and workspaces via Unity Catalog External Locations, Volumes, and lineage tracking.\nAccess and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking.\nCollaborate with data sharing stakeholders to implement Delta Sharing - both internally and externally.\nIntegrate Power BI/Tableau/Looker with Databricks using optimized connectors (ODBC/JDBC) and Unity Catalog security controls.\nBuild stakeholder-facing SQL Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs.\nPrepare Gen AI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.\nPackage and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.\nTroubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.\nExperience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.\nHands on Experience in applying Performance optimization techniques\nUnderstanding data modeling and data warehousing principles is essential.\nNice to Have:\n1. Certifications: Databricks Certified Professional or similar certifications.\n2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.\n3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)\n4. Data Orchestration: Apache Airflow.\n5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.\n6. Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.\n7. Familiarity with DBT (Data Build Tool)\nAdditional Information:\n- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.\n- This position is based at our Bengaluru office.\nEducational Qualification:\n- 15 years full time education is required.\n15 years full time educationAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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