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Job details:
Tasks
Role Overview:
We are looking for a highly experienced Data Architect with strong expertise in Google Cloud Platform (GCP) and Databricks to lead enterprise-level data platform architecture and modernization initiatives. The candidate will be responsible for designing scalable, secure, and high-performance data solutions supporting analytics, machine learning, and operational workloads.
Key Responsibilities:
• Define end-to-end enterprise data platform architecture using GCP and Databricks technologies
• Design and govern lakehouse architecture including bronze/silver/gold layers and Delta Lake implementation
• Architect batch, micro-batch, and real-time data ingestion frameworks
• Build scalable and cost-optimized cloud data solutions
• Create architecture documents including HLDs, LLDs, and data flow diagrams
• Design logical and physical data models including dimensional and domain-driven models
• Implement data governance, cataloging, lineage, security, and access control standards
• Establish CI/CD practices, testing standards, and Infrastructure as Code using Terraform
• Drive observability standards including monitoring, SLAs, alerting, and incident management
• Collaborate with engineering, analytics, data science, and product teams for solution delivery
• Mentor senior engineers and conduct architecture reviews
Required Skills:
Google Cloud Platform:
• BigQuery
• Dataproc
• Cloud Composer (Airflow)
• Pub/Sub
• Dataflow
• GCS
• Dataplex
• Vertex AI
• GCP IAM & Security Architecture
Databricks:
• Unity Catalog
• Delta Lake
• Delta Live Tables
• MLflow
• Photon Engine
• SQL Warehouses
• Databricks Asset Bundles
Core Technical Skills:
• Strong expertise in PySpark and SQL
• Data Modeling (Kimball, Data Vault 2.0, Domain-Driven Design)
• Real-time streaming architecture using Kafka, Pub/Sub, or Kinesis
• Data Quality frameworks like Great Expectations, dbt, Soda
• Infrastructure as Code using Terraform
• Apache Spark 3.x
• Apache Airflow
• GitHub Actions
Preferred Certifications:
• Google Cloud Professional Data Engineer
• Google Cloud Professional Cloud Architect
• Databricks Certified Data Engineer
• dbt Certified Developer
Leadership Qualities:
• Strong architectural and analytical thinking
• Excellent communication and stakeholder management
• Decision-making under ambiguity
• Mentorship and technical leadership
• Strong focus on quality, governance, and operational excellence
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
- Minimum of 5 years of experience in data architecture, data modeling, and database design for business consulting and services industries.
- Proficiency in data warehousing solutions, ETL processes, and data integration techniques.
- Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, including experience with cloud-based data storage and management solutions.
- Excellent communication skills with the ability to work collaboratively with cross-functional teams to provide data-driven insights and solutions.
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