Data Architect Graduate Experience Jobs in Chennai

Job Title:Data ArchitectTeam:Data Platform, Application & DataReports to:Engineering Manager Data Platform, Application & DataLocation:Chennai, HybridMinimum Education:Bachelors Degree or Equivalent ExperienceRecommended Tenure:7+ years in data platform engineering or architecture roles(including 3+ years in a hands-on architecture role)Role Summary:TheData Architectwill design, implement, and manage scalable, reliable, and secure dataarchitectures that power analytics, integrations, and real-time processing across theorganization. As part of theData Platform team, this role collaborates closely withSolutionArchitects, Data Engineers, and cross-functional stakeholdersto ensure that data modelsand systems are aligned with business needs and enterprise architecture standards.Key Responsibilities:Architecture & Design: Translate business and technical requirements into well-defineddata models andarchitecture specifications. Design and documentlogical and physical data models,data flow diagrams,andintegration patterns. Align data architecture withapplication design and system interaction patternsincollaboration with Solution Architects. Establish and maintainbest practices and design standardsfor relational, NoSQL,and streaming data solutions.Solution Delivery & Support: Act as ahands-on architecture leadduring discovery, planning, and delivery phasesof data projects. Guide data engineers in implementing solutions consistent with architectureprinciples and project requirements. Conductdesign and code reviewsto ensure solution quality, scalability, andcompliance. Drive platform evolution by defining and enforcingreusable, modular, and scalablearchitecture practices.Data Governance & Quality: Define and enforcebest practices for data modeling, data security, andperformance tuning. Maintain consistency inmetadata, naming conventions, and data accessstandardsacross environments. Supportdata privacy, classification, and auditabilityrequirements across integratedsystems.Cross-Functional Collaboration: Partner withProduct Managers, Engineering Leads, DevOps, and Analytics teamstodeliver end-to-end data solutions. Collaborate withSolution Architectsto ensure cohesive design and delivery acrossapplication and data domains. Serve as asubject matter experton data structures, semantics, and lifecyclemanagement across key business areas.Key Competencies & Skills: Experience:7+ years in data engineering or data architecture roles, with at least 3years in an architecture-focused position. Cloud Platforms:Proven expertise inGCPand/orAzure, with deep understanding ofnative data services. Data Technologies:Strong understanding ofrelational, NoSQL, and object storageparadigms. Databases:Hands-on experience withOracleandPostgreSQL; proficiencyinPythonpreferred. DevOps for Data:Familiarity withinfrastructure-as-code (IaC)andCI/CDpipelinesfor data engineering. Soft Skills:Excellent communication and stakeholder management skills, with theability tolead through influence. Work Ethic:Self-motivated, organized, and capable of managing multiple initiativessimultaneously.

We are looking for a highly experienced Python Architect to design and lead large-scale, enterprise-grade Python solutions for AI, data, and analytics platforms. The role requires deep hands-on expertise in Python across architecture, development, and production systems, supporting end-to-end AI and data-driven solutions.Key Responsibilities:Architect scalable, high-performance systems using Python as the core technologyDefine technical architecture for AI, data engineering, and analytics platformsLead design and development of microservices, APIs, and backend frameworks in PythonEnsure production-ready implementations with strong focus on performance, security, and reliabilityCollaborate with data science, ML, DevOps, and product teams to operationalize AI solutionsEstablish coding standards, best practices, and architectural guidelinesReview code, mentor senior engineers, and provide technical leadershipDrive innovation and continuous improvement in Python-based system designRequired Skills & Qualifications:1218 years of experience working fully and extensively in PythonStrong expertise in Python system architecture and large-scale backend designExperience supporting AI/ML, data engineering, or analytics platformsSolid understanding of microservices, REST APIs, and distributed systemsHands-on experience with cloud platforms (AWS/Azure/GCP)Strong problem-solving skills and ability to lead complex technical initiativesExcellent communication and stakeholder collaboration skills

# We're Hiring: Data Engineer Architect (Interview Panel)Are you a data visionary ready to shape scalable, high-performance architectures? Join our interview panel and work on cutting-edge data platforms! Role: Data Engineer Architect (Interview Panel)Type: Freelance/Project-BasedExperience: 8+ years in Data Engineering/ArchitectureExpertise: Data pipelines, cloud platforms (AWS/GCP/Azure), Spark, Python/Scala, SQLLocation: Remote

Cloud Data Engineering + Cloud Data Architecture + Data Integration Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices.GCP Expertise:Demonstrate proficiency in GCP tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architecture.Place : ChennaiExperience : 8+ YearsNo of openings : 2Skills : Data Integration, warehouse implementations , ETL/ELT Tools, Python, Data normalization and denormalization techniques.

Role : Informatica MDM Developer / Profisee MDM DeveloperSkills : 5+ years direct experience in MDM design, development, support and operations with Informatica MDM tool suite. Hands-on expertise required with Informatica tools and utilities such as Data Controls, Data Director and Data Quality. Extensive knowledge and experience in defining Master Data Management strategies, implementing MDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions. Familiarity with enterprise data integration technologies and methods such as ETL, data replication, and data services. Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions. Demonstrated business acumen and the ability to apply technology solutions to solve business problems.. Experience with Profisee Informatica is first preference if you dont et please send MDM Informatica experience profiles..Min 5+ relevant experience required.ACS Notes:Aparajita time to join: ie: Immediate or within 21 daysWork location : Bangalore, Chennai, Hyderabad Hybrid( 2 or 3 days work from Office).No of positions : 8Experience : 5+ YearsBudget : 5+ yrs upto 11 lpa6+ yrs upto 13 lpa7+ yrs upto 15 lpa

Job Description:Significant experience in data and reporting requirements gathering and documentation, data analysis and design, developing data visualisation wireframes, and interfacing with business teams on user acceptance testing and training.Experience in gathering documenting business process and rules, source system process, and data flows as well as data mapping for all fields in Bl report to support the development and implementation teams.Experience in analysis of data fields required to migrate data, or to develop data feed between internal systems or third-party applications as well as ability to identify data sources for each of these requirements including the design of detailed mappings and logic/transformations.Experience in data requirements analysis for the data tables/ data marts supporting for the reporting requirements.Experience in preparing test cases, user manuals and user training on data and reporting artefacts.Experience in using data management tools (Data Governance, Metadata Management, Data Quality, Master/Reference Data, etc.), SQL, data analysis tools and Business Intelligence reporting toolsExcellent verbal and written communication skills, capable of communicating with audiences at all levels with clarity, impact and influence.Demonstrated evidence of being self-motivated, results orientated and driven to improve business processes.Demonstrated evidence of ability to partner effectively with business users and establish strong professional relationships across the enterprise.

10+ years' of experience in a technical role with expertise in data governance and data warehousing - such as setting up DataBricks as a Service modelProduction deployment experience with data governance solutions and hands-on experience with cloud data lakes.Experience with design and implementation of data warehousing technologies.Deep Specialty Expertise with scaling big data workloads that are performant and cost-effective - including technologies such as Delta LakeSupport customers by authoring reference architectures, how-to, and demo applicationsExperience working with Enterprise AccountsIntegrate Databricks with 3rd-party applications to support customer architectures.Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)Good communication Skillsif you are interested kinly drop a mail we reach us

Job DescriptionThe Big Data/Analytics Solution Architect is responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing a solutions architecture to meet those requirements and specifying an implementation HW and SW solution stack. Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concept to test the architectures, usage models and corresponding Intel technologies in testbed or real end user environments. They also work with end users and ecosystem partners to deploy those solutions in early adopter production environments. A strong candidate will have:Experience in Requirements Engineering, Solution Architecture, Design, Development and DeploymentA broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain.Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data/AnalyticsStrong communication skills including representing your company in industry standards organizations or industry technical forums or events in Cloud SecurityStrong technical team leadership, mentorship and collaboration.Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers.

Job Description:The senior architect would lead and support enterprise Oracle product and technologylandscape, with end-to-end responsibility from solution architecting to standards compliance.Roles and Responsibilities:- RICEW components: Design, Development, Conversion, Customization, Interfacing andImplementation of Oracle Applications using Oracle SQL/PLSQL, Oracle Reports, FORMSand BI Publisher- UNIX Shell Scripting, middle ware tools (SOA, Boomi)- Designing and developing Oracle object such as Tables, Views, Indexes, Partitions,Stored Procedures & Functions in PL/SQL, Packages, Materialized Views, Dynamic SQLand Analytical functions, WebADI, etc.- Architecting, designing & developing third party interfaces or webservices to supportEDI, bank, portals, etc.- Resolve business process gaps in standard Oracle with simple and effective solutionswith minimal customizations.- Present complex issues to a variety of audiences: technical, non-technical and executivepersonnel.- To work effectively in Onshore-offshore modelsRequired Skills:- Must have 4-5 years of experience with solution architecting, implementation and/orintegration experience in various Oracle EBS core and peripheral products:- SCM (OM, PO, Inventory, BOM, WIP, Global Pricing, Configurator, ASCP, Quoting,iProcurement, MSCA, Quality, Shipping)- Finance (AP, AR, GL, FA, CM, iReceivables, iSupplier)- CRM (OIC, Territory Manager, Install Base, Depot Repair, Teleservices, Collections)- VCP (Demantra, ASCP, etc.).- MDM.- BI, Oracle Big Data.- Oracle R Technologies.- Machine learning for Oracle R.- Proficiency in Oracle E-business suite R12- Strong understanding on business flows: Procure to pay (P2P), order to cash (OTC), cashto cash (CTC), hire to retire (HTR), etc.- Must have demonstrated knowledge/experience on Oracle application integrations,APIs, various module dependencies, feature set dependencies, etc.- Must have designed solutions within and outside of Oracle,

Hiring for Enterprise ArchitectJob Description: Develops migration strategies, solution designs, and collaborates or executable project plans Comprehends the client's business problem, need, or opportunities into solution design addressing the business problems, needs, and opportunities Ability to provide architectural direction for multiple medium to large-sized projects concurrently in various stages of their life cycle or a large project full time Ability to comprehend the client's business problem, need, or opportunity and to design a strategy/solution that completely and correctly addresses the business problem, need, or opportunity Ability to validate/evaluate if an Information System or Operational Architecture meets business needs Relates risks and challenges the client should expect to encounter with a given strategy/solution with other client efforts or projects (use of internal knowledge of organisation; trusted advisory relationship). Develops Architecture Specification deliverable that map customer business requirements into complete information systems (technologies, processes, and people) or operational solutions Ability to apply knowledge of how the industry uses IT to address business challenges using, for example, technical standards and infrastructure, cross-industry trends that impact IT investment, industry-specific roadmaps, and IT enablers Ability to establish a leadership role in business development activities for large, complex opportunities as Solution Architect Build rapport and trust internally within and externally with the client's Demonstrate excellent consultative, technical, and leadership skills Ability to strategically consider all sides of an issue within the contexts of time, breadth, and range of options Ability to systematically gather, assess and apply critical organisational, technical, operational, and sales/marketing information for business decisions

ResponsibilitiesCreate and maintain optimal data pipeline architectureAssemble large, complex data sets that meet functional / non-functional business requirements.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Open Source and AWS big data technologiesBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with data and analytics experts to strive for greater functionality in our data systems.QualificationsExperience building and optimizing big data pipelines, architectures and datasets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Experience interacting with customers and various stakeholders.Strong analytical skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable big data lakes.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.They should also have experience using the following software/tools:Big data technologies: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, including Postgres and Cassandra.Data pipeline and workflow management tools: Airflow, NiFi etc.Cloud services: AWS - EMR, RDS, Redshift, Glue. Azure - Databricks, Data Factory. GCP - Dataproc, Pub/SubStream-processing systems: Storm, Spark Streaming, Flink etc.