{"id":3740169,"url":"https://alion.io/job/accenture-data-architect-17","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":2120,"ghost_share":0.001,"stale_share":0.17,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-07T05:47:08Z"}},"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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":true},{"name":"C++","optional":true},{"name":"Databricks","optional":true},{"name":"HPC","optional":true},{"name":"Java","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-11-04T11:33:21Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T08:40:40Z","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 : Data Science\nGood to have skills : Snowflake Data Warehouse, Amazon Web Services (AWS), Databricks Unified Data Analytics Platform\nMinimum 5 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAI Powered Tech Talent\nAs an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.\nFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions\nDevelop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps\nCustomize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC\nEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites\nWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production\nImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools\nJustify the value of model approaches in business problems\nCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production\nBachelor's Degree or equivalent\nMinimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.\nMinimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming\nMinimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks\nMinimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.\nProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..\nExperience working with language models like LLM's APIs and optimizing their usage for specific applications.\nExperience with the following programming languages: Python, C++, Java, R, SQL\nStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders\nStrong client-facing skillsets in a consulting environment\nStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams\nEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation\nMS or PhD in related field preferred (computer science, engineering, etc.)\nAs a Data Architect, a typical day involves defining the data requirements and structuring the data for various applications. This role includes designing and modeling the data architecture to ensure efficient storage and seamless integration across systems. The position requires a thoughtful approach to organizing data assets to support application functionality and scalability, while collaborating with different stakeholders to align data strategies with business needs.\nRoles & Responsibilities:\n- Expected to be an SME, collaborate and manage the team to perform.\n- Responsible for team decisions.\n- Engage with multiple teams and contribute on key decisions.\n- Provide solutions to problems for their immediate team and across multiple teams.\n- Lead the development and implementation of data architecture standards and best practices.\n- Facilitate communication between technical teams and business units to ensure data requirements are met effectively.\n- Mentor junior team members to support their professional growth and enhance team capabilities.\nProfessional & Technical Skills:\n- Must To Have Skills: Proficiency in Data Science.\n- Good To Have Skills: Snowflake Data Warehouse, Amazon Web Services (AWS), Databricks Unified Data Analytics Platform.\n- Strong knowledge of data modeling techniques and database design principles.\n- Experience with data integration and data storage solutions.\n- Ability to analyze complex data requirements and translate them into scalable data architectures.\n- Familiarity with cloud-based data platforms and modern data engineering tools.\nAdditional Information:\n- The candidate should have minimum 5 years of experience in Data Science.\n- This position is based at our Chennai office.\n- A 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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