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

Robust 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

📌 Principal Data Architect (India)
🏢 Invokhr
📍 India