Senior data architect

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

• 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.