Key Responsibilities

Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture.
Prepare technical architecture and design, clarify requirements, and resolve ambiguities.
Develop solutions in line with established technical designs, integration standards, and quality processes.
Create and enforce technical design and development guides, templates, and standards.
Design templates or scripts to automate routine development or operational tasks
Design end-to-end data architectures on GCP, ensuring scalability, performance, and cost efficiency.
Define best practices for data governance, metadata management, and compliance.
Data Management & Governance
Implement frameworks for data quality, lineage, cataloging, and security
Collaborate with stakeholders to enforce governance policies across data pipelines.
Big Data & ETL Pipelines
Architect and optimize ETL/ELT pipelines using GCP services (e.g., Dataflow, Dataproc, BigQuery, Pub/Sub, Cloud Composer).
Ensure efficient ingestion, transformation, and storage of large-scale datasets & Databricks Integration
Design and manage Databricks clusters for advanced analytics, machine learning, and big data processing.
Optimize Spark-based workflows for performance and cost.

Required Skills & Experience

Proven experience as a Cloud Architect (preferably GCP-certified).
Strong knowledge of data management principles and data governance frameworks.
Hands-on expertise with Big Data technologies (Spark, Hadoop, Kafka, Databricks).
Proficiency in ETL pipeline design and optimization.
Deep understanding of GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, Cloud Composer.
Experience with Databricks for big data analytics and ML workflows.
Strong problem-solving, communication, and stakeholder management skills.

GCP Architect

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