Lookng for Immediate Joiners only

Role & 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

Preferred candidate profile

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 qualified data engineer certification will be an added

advantage

📌 Principal Data Architect (Gurugram)
🏢 Invok HR
📍 Gurugram