Position: Principal Data Architect
Location: India
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 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 GCP and Azure 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 organizations cloud and data strategy
Experience 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 Looker
Familiar 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
techniquesRelational, 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 GCPnative 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 cloudincluding 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
