Fabric Enterprise Azure Data Architect
June 9, 2026Senior Anaplan Model Builder
June 10, 2026
Experience: 8+ Years
Budget: 1.1L-1.7L
JD:
Executive Summary
The Senior Data Architect will serve as a strategic technical leader responsible for the design, implementation, and governance of enterprise-scale data ecosystems on the Google Cloud Platform (GCP). With a primary focus on the electric and gas utility sectors, this role bridges the gap between complex business requirements and high-performance cloud infrastructure. The successful candidate will leverage a minimum of 8 years of professional experience to architect robust data ingestion pipelines and sophisticated data models that drive operational efficiency and advanced analytics.
Technical Domain Expertise: GCP Data Ingestion
The core of this role involves architecting seamless data flows from diverse sources into a centralized analytical environment. The Architect must demonstrate mastery over the full suite of GCP data ingestion services, selecting the optimal tool based on latency, volume, and processing requirements.
| Service | Primary Use Case in Architecture | Key Technical Requirement |
| Pub/Sub | Real-time messaging and event-driven architectures . | Expertise in asynchronous decoupling and message ordering. |
| Dataflow | Unified stream and batch data processing . | Proficiency in Apache Beam and pipeline optimization. |
| Dataproc | Managed Hadoop and Spark services for big data processing . | Experience in migrating and scaling open-source workloads. |
| Data Transfer Service | Automated data movement from SaaS and other clouds . | Ability to schedule and monitor high-volume transfers. |
| DataStream | Serverless change data capture (CDC) and replication . | Expertise in synchronizing relational databases with BigQuery. |
Industry Specialization: Utility Data Modeling
A significant differentiator for this position is a deep understanding of the unique data structures within the electric and gas utility industries. The Architect is expected to design schemas that align with international standards to ensure interoperability and long-term scalability.
Expertise in the Common Information Model (CIM), as defined by IEC 61970/61968, is highly valued for its role in standardizing energy management system interfaces . Furthermore, familiarity with MultiSpeak protocols is essential for facilitating seamless integration between Advanced Metering Infrastructure (AMI) and back-office billing or GIS systems . The candidate will be responsible for translating these industry-specific semantic models into physical implementations within GCP, ensuring that operational data from the grid is accurately represented for predictive maintenance and load forecasting.
Core Responsibilities and Strategic Impact
The Senior Data Architect is not merely a technical implementer but a visionary who shapes the organization’s data culture. This includes establishing rigorous data governance frameworks and security protocols that comply with industry regulations. The Architect will collaborate with cross-functional teams to ensure that data remains a reliable, high-quality asset throughout its lifecycle.
Beyond design, the role requires a commitment to cost-optimization and performance tuning. By leveraging serverless technologies and fine-tuning partitioning strategies in BigQuery, the Architect will ensure that the platform scales efficiently as data volumes grow. Mentorship of junior engineers and the promotion of a “data-first” mindset across the enterprise are also vital components of this leadership position.
Professional Qualifications
The candidate must hold a Bachelor’s or Master’s degree in Computer Science or a related quantitative field. At least 8 years of experience in data architecture or engineering is required, with a proven track record of delivering production-grade solutions on GCP. Professional certifications, such as the GCP Professional Data Engineer, are strongly preferred as they validate the candidate’s technical proficiency in the platform’s latest offerings.
