Principal Data Architect

Company DescriptionAays is a fast-growing data science and artificial intelligence firm that collaborates with Fortune 1000 companies to deliver innovative data-driven solutions. Renowned for its expertise in leveraging AI to address complex challenges, Aays takes pride in making data more actionable and impactful for its clients. With a commitment to driving business transformation, Aays is dedicated to empowering organizations with insights and strategies that promote growth and innovation.Your teamYou 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 (Azure and GCP)    Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions    Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies Drive the design, sizing, provisioning, and setup of Azure and GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage      Provide 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 technologies Advise on emerging Azure and GCP trends and services, and recommend adoption strategies to maintain competitive edge  Actively 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 organization’s cloud and data strategyExperience Needed: Demonstrated experience in delivering multiple data and analytics solutions on Azure and GCP   Hands-on experience with data ingestion, processing and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion    Deep 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 implementation   Strong understanding and practical experience with different data modelling techniques—Relational, Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured datasets  Experience with enterprise data management ie. Data Quality t, Metadata management, Data governance, Data Observability using Azure and GCP-native or third-party tools   Experience in design and implementation of event driven architecture and tools like google pub -sub or Kafka will be an added advantage Familiar with AI, GenAI concepts and Vertex AI     Solid grasp of operational dependencies and integration across applications, networks, security, and infrastructure in the cloud—including IAM, VPCs, VPNs, firewall rules, GKE, and service accounts  Strong foundation in computer science or software engineering, with expertise in software development methodologies and Dev/Data Ops and CI/CD Practical 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 development     Remains hands-on with technology and stays current with industry trends and GCP service evolution    Demonstrated hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up new languages or technologies quick  Azure and GCP professional data engineer certification will be an added advantage 

Apply Now