Senior Data Architect

20 hours ago

Tiruppur, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

As a senior data architect, you will play a key role in helping our clients transform their corporate finance function using advanced analytics.

The ideal candidate will have extensive experience in delivering multiple data and analytics solutions on Google Cloud Platform (GCP).

You will work closely with our consulting team to design and implement technical solutions that meet the needs of our clients.

Key responsibilities include:

  • Designing and driving end-to-end data and analytics solution architecture from concept to delivery on GCP
  • Developing and supporting conceptual, logical, and physical data models for advanced analytics and ML-driven solutions
  • Ensuring integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains
  • Driving the design, sizing, provisioning, and setup of GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage
  • Reviewing solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologies

Candidate requirements:

Extensive experience in delivering multiple data and analytics solutions on 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 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 modeling techniques—Relational, Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured datasets

Experience with enterprise data management i.e. Data Quality t, Metadata management, Data governance, Data Observability using GCP-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

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

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.

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 quickly

This is a challenging opportunity for experienced professionals who want to make a real impact in the field of data architecture and analytics.

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