Job Description
Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud
Platform and Azure.
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Design, develop, and support conceptual, logical, and physical data models for advanced analytics and
ML-driven solutions
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Ensure integration of industry-accepted data architecture principles, standards, guidelines, and
concepts with other domains, along with coordinated roll-out and adoption strategies
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Drive the design, sizing, provisioning, and setup of GCP and Azure environments and related services
such as BigQuery, Dataflow, and Cloud Storage
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Provide mentoring and guidance on GCP and Azure-based data architecture to engineering, analytics,
and business teams
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Review solution requirements and architecture for appropriate technology selection, efficient
resource utilization, and effective integration across systems and technologies
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Advise on emerging GCP and Azure trends and services, and recommend adoption strategies to
maintain competitive edge
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Actively participate in pre-sales engagements, PoCs, and contribute to publishing thought leadership
content
Experience Needed:
Demonstrated experience in delivering multiple data and analytics solutions on GCP and Azure
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Hands-on experience with data ingestion, processing and orchestration tools such as Dataflow,
Pub/Sub, Dataproc, Cloud Composer, and Data Fusion
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Deep expertise with GCP and Azure 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
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Strong understanding and practical experience with different data modelling techniques—Relational,
Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured
datasets
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Experience with enterprise data management ie. Data Quality t, Metadata management, Data
governance, Data Observability using GCP and Azure-native 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
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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
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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
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Remains hands-on with technology and stays current with industry trends and GCP and Azure service
evolution
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Demonstrated hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up
new languages or technologies quick - GCP and Azure professional data engineer certification will be an added advantags
Thank you for your interest in this role. Please also share your CV at priya@lsarecruit.co.uk and if suitable, we will get in touch with you to discuss further.