Principal Data Architect

Business2Sell Group; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Business2Sell Group seeks a Principal Data Architect to lead end-to-end data and analytics initiatives on Azure and GCP. You will design scalable data models, shepherd data platforms, and mentor cross-functional teams while aligning with business goals.

Collaborate with leadership to advance cloud strategy and data governance. The role demands hands-on expertise in BigQuery, Looker, and data orchestration, with a focus on governance, security, and scalable architectures.

Qualifications

• Demonstrated experience delivering multiple data and analytics solutions on Azure and GCP.
• Strong data modeling and data governance experience.
• Hands-on with ingestion, processing, and orchestration tools.
• Experience mentoring teams and pre-sales support.

Responsibilities

• Design and drive end-to-end data and analytics solution architecture on GCP and Azure.
• Mentor engineering and analytics teams on cloud data architectures.
• Lead pre-sales engagements and PoCs for data platforms.
• Collaborate with founders to shape cloud and data strategy.

Skills

End-to-end architecture

Azure

GCP

BigQuery

Dataflow

Pub/Sub

Dataproc

Terraform

Python

Looker

Tools

Cloud Composer

Data Fusion

Dataproc

Terraform

Cloud Build

GitHub Actions

Spark

BigQuery

Job description

Position: Principal Data ArchitectYou 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.ResponsibilitiesDesign 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 solutionsEnsure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategiesDrive the design, sizing, provisioning, and setup of GCP and Azure environments and related services such as BigQuery, Dataflow, and Cloud StorageProvide mentoring and guidance on Azure and GCP-based data architecture to engineering, analytics, and business teamsReview solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologiesAdvise on emerging Azure and GCP trends and services, and recommend adoption strategies to maintain competitive edgeActively 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 strategyExperience Needed:Demonstrated experience in delivering multiple data and analytics solutions on Azure and GCPHands-on experience with data ingestion, processing and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data FusionDeep 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 implementationStrong understanding and practical experience with different data modelling techniquesRelational, Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured datasetsExperience with enterprise data management ie. Data Quality t, Metadata management, Data governance, Data Observability using Azure and GCP-native or third-party toolsExperience in design and implementation of event driven architecture and tools like google pub -sub or Kafka will be an added advantageFamiliar with AI, GenAI concepts and Vertex AISolid grasp of operational dependencies and integration across applications, networks, security, and infrastructure in the cloudincluding IAM, VPCs, VPNs, firewall rules, GKE, and service accountsStrong foundation in computer science or software engineering, with expertise in software development methodologies and Dev/Data Ops and CI/CDPractical 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 developmentRemains hands-on with technology and stays current with industry trends and GCP service evolutionDemonstrated hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up new languages or technologies quickAzure and GCP professional data engineer certification will be an added advantage