Job Title: Principal Data ArchitectJob Location: Remote / Hybrid 3 days from Office for certain cities: Kochi, Bangalore, Noida, and Dehradun. Your team: You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation skills are keys for this position.Responsibilities: Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP and Azure)Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutionsEnsure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategiesDrive the design, sizing, provisioning, and setup of GCP and Azure environments and related services such as BigQuery, Dataflow, and Cloud StorageProvide mentoring and guidance on Azure and GCP-based data architecture to engineering, analytics, and business teams Review solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologiesAdvise on emerging Azure and GCP trends and services, and recommend adoption strategies to maintain competitive edgeActively participate in pre-sales engagements, PoCs, and contribute to publishing thought leadership content. Collaborate closely with the founders and leadership team to shape and drive the organizations cloud and data strategyExperience Needed:Demonstrated experience in delivering multiple data and analytics solutions on Azure and GCPHands-on experience with data ingestion, processing and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data FusionDeep expertise with Azure and GCP data warehousing and analytics services including BigQuery, Cloud Storage, and LookerFamiliar with Data Mesh, Data Fabric and Data products, Data Contracts and experience in data mesh implementationStrong understanding and practical experience with different data modelling techniquesRelational, Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured datasetsExperience with enterprise data management ie. Data Quality t, Metadata management, Data governance, Data Observability using Azure and GCP native or third-party toolsExperience in design and implementation of event driven architecture and tools like google pub -sub or Kafka will be an added advantageFamiliar with AI, GenAI concepts and Vertex AISolid grasp of operational dependencies and integration across applications, networks, security, and infrastructure in the cloudincluding IAM, VPCs, VPNs, firewall rules, GKE, and service accountsStrong foundation in computer science or software engineering, with expertise in software development methodologies and Dev/Data Ops and CI/CDPractical experience using tools such as Terraform, Cloud Build, GitHub Actions, and scripting via Python, Bash etc.Familiar with software development lifecycle and cloud-native application developmentRemains hands-on with technology and stays current with industry trends and GCP service evolutionDemonstrated hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up new languages or technologies quickAzure and GCP professional data engineer certification will be an added advantagePlease expedite and send the updated resume along with requested details and confirmation of interest. Regards, Pooja Raval – Sr Consultant / Team Leader Ms Swati Sharma +91-9898873648Send CV and Reply mail to unitedtechit@uhr.co.in.Will call you for detail discussion, if your Profile is relevant. Role: NLP / DL Engineering / Architect,Industry Type: IT Services & Consulting,Department: Data Science & Analytics,Employment Type: Full Time, PermanentRole Category: Data Science & Machine LearningEducationUG: B.Sc in Information Technology (IT), B.Tech / B.E. in Computer Science and Engineering (CSE), Electronics and Communication Engineering (ECE), Computer Science and Business System, Artificial Intelligence And Data Science