Chief Analytics Architect

3 days ago


Surat, Gujarat, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 1,50,00,000
Data Architecture Professional

This role is designed to empower Fortune 1000 companies through AI-powered decision intelligence.

  • Act as a key member of the consulting team, helping clients re-invent their corporate finance function by leveraging advanced analytics.
  • Closely work with senior stakeholders to design and implement data strategy in finance space, covering controllership, FP&A, and GPO.

Skill & Experience Required:

  • Demonstrated experience in delivering multiple data and analytics solutions on Google Cloud Platform.
  • 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 modelling techniques—Relational, Star, Snowflake, DataVault etc., and working with transactional, time-series, and unstructured datasets.
  • Experience with enterprise data management i.e. Data Quality, Metadata management, Data governance, Data Observability using GCP-native or third-party tools.
  • Familiar with AI, GenAI concepts and Vertex AI.
  • 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 GCP professional data engineer certification will be an added advantage.

About this Job:

This position requires a strong background in data architecture and engineering, with experience in designing and implementing scalable analytical solutions leveraging cloud and big data technologies.

Key Responsibilities:

  1. Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP).
  2. Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions.
  3. Evaluate integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies.
  4. Drive the design, sizing, provisioning, and setup of GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage.
  5. Review solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologies.
  6. Advise on emerging GCP trends and services, and recommend adoption strategies to maintain competitive edge.
  7. Actively participate in pre-sales engagements, PoCs, and contribute to publishing thought leadership content.
  8. Closely collaborate with founders and leadership team to shape and drive the organization's cloud and data strategy.


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