Principal Data Architect

Position: Principal Data Architect Location: Remote / Open to relocate if required About Aays
Aays is fast-growing analytics consulting firm. We are solving some of the most complex corporate finance problems faced by large and fast-growing companies in the world utilising big data, cloud computing and AI/ML. We are an employee first company – we firmly believe that happy employees can create happy customers and that can in turn result in a successful business. Come and join us for a life changing journey.
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 conceptto delivery on Google Cloud Platform (GCP and Azure)
•
Design, develop, and support conceptual, logical, and physical data models foradvanced 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 andadoption strategies
•
Drive the design, sizing, provisioning, and setup of GCP and Azure environments andrelated services such as BigQuery, Dataflow, and Cloud Storage
•
Provide mentoring and guidance on Azure and GCP-based data architecture toengineering, analytics, and business teams
•
Review solution requirements and architecture for appropriate technology selection,efficient resource utilization, and effective integration across systems andtechnologies
•
Advise on emerging Azure and GCP trends and services, and recommend adoptionstrategies to maintain competitive edge
•
Actively participate in pre-sales engagements, PoCs, and contribute to publishingthought leadership content. Collaborate closely with the founders and leadershipteam to shape and drive the organization’s cloud and data strategy
Experience Needed:
•
Demonstrated experience in delivering multiple data and analytics solutionson Azure and GCP
•
Hands-on experience with data ingestion, processing and orchestration toolssuch as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion
•
Deep expertise with Azure and GCP data warehousing and analytics servicesincluding BigQuery, Cloud Storage, and Looker
•
Familiar with Data Mesh, Data Fabric and Data products, Data Contracts andexperience in data mesh implementation
•
Strong understanding and practical experience with different data modellingtechniques—Relational, Star, Snowflake, DataVault etc. and working withtransactional, time-series, and unstructured datasets
•
Experience with enterprise data management ie. Data Quality t, Metadatamanagement, Data governance, Data Observability using Azure and GCP-native or third-party tools
•
Experience in design and implementation of event driven architecture andtools 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, withexpertise in software development methodologies and Dev/Data Ops andCI/CD
•
Practical experience using tools such as Terraform, Cloud Build, GitHubActions, and scripting via Python, Bash etc.
•
Familiar with software development lifecycle and cloud-native applicationdevelopment
•
Remains hands-on with technology and stays current with industry trendsand GCP service evolution
•
Demonstrated hands-on experience coding in Python, SQL, and Spark, withthe flexibility to pick up new languages or technologies quick
•
Azure and GCP professional data engineer certification will be an addedadvantage