About
· 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.
Preferred Qualifications
· Google Cloud Professional Cloud Architect certification.
· Experience with multi-cloud or hybrid architectures.
· Familiarity with data security and compliance standards (GDPR, HIPAA, etc.).
· Knowledge of DevOps practices and CI/CD pipelines for data solutions.
Languages
- English
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