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Technical Architect – Dataflow, GCP
YASH Technologies. Define current-state and target-state data architecture across cloud, warehouse, lakehouse, integration, and analytics platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in GCP Data Architecture, including migration planning, data modeling, and governance. Proficient in designing scalable analytics solutions using Snowflake and Databricks, ensuring security and compliance across data platforms.
Highest-signal resume keywords
GCP Data ArchitectureSnowflake ArchitectureDatabricks ExperienceSQL ProficiencyData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingDimensional ModelingData VaultPerformance TuningData Quality FrameworksMetadata ManagementData MigrationSecurity ControlsCost OptimizationData Lineage
Tools & Technologies
GCPSnowflakeDatabricksBigQueryCloud StorageDataflowDataprocPub/SubCloud ComposerIAM
Industry Keywords
Cloud MigrationData ArchitectureOperational ReportingRegulatory ComplianceData-Driven Decision-Making
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPySparkSparkSQLUnityVault
About the role
Key responsibilities & impact- Define current-state and target-state data architecture across cloud, warehouse, lakehouse, integration, and analytics platforms
- Lead GCP migration planning, including landing-zone alignment, data movement patterns, security controls, and cutover strategy
- Architect Snowflake sandbox migration paths, environment promotion standards, data modeling, role-based access, performance tuning, and cost governance
- Design Databricks lakehouse patterns for batch and streaming pipelines, Delta Lake, data quality, lineage, and ML/AI-ready data products
- Create conceptual, logical, and physical data models
- Define canonical data entities, standards, metadata, and stewardship rules
- Partner with engineers to review pipelines, ELT/ETL patterns, orchestration, APIs, and data contracts
- Establish migration principles for data reconciliation, testing, rollback, observability, and operational readiness
- Support solution estimates, architecture review boards, vendor evaluations, and stakeholder communications
- Define, design, and govern enterprise data architecture for scalable analytics, operational reporting, regulatory compliance, and data-driven decision-making
- Lead cloud data modernization initiatives involving GCP migrations, Snowflake sandbox-to-production enablement, and Databricks lakehouse capabilities
- Ensure data solutions are secure, cost-effective, performant, reusable, and aligned with enterprise architecture, governance, and delivery standards
Requirements
What you’ll need- 12+ years of experience as a GCP Data Architect
- Experience with GCP, Snowflake, and Databricks
- Knowledge of GCP data services: BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, IAM, VPC/service controls, and Cloud Monitoring
- Snowflake architecture experience, including databases/schemas, warehouses, stages, streams/tasks, Snowpipe, dynamic tables, secure sharing, masking, RBAC, and cost optimization
- Databricks experience with Delta Lake, Unity Catalog, notebooks/jobs, Auto Loader, Spark SQL/PySpark, clusters/workflows, and medallion architecture
- Strong SQL, dimensional modeling, Data Vault or domain modeling, data quality frameworks, metadata management, and lineage
- Experience with migration methods including discovery, profiling, mapping, dependency analysis, parallel runs, reconciliation, performance testing, and release planning
- Knowledge of security and governance including encryption, secrets, least privilege, PII/PHI handling, audit logging, retention, and policy-based access
Benefits
Comp & perks- Flexible work arrangements
- Inclusive team environment
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning
- Stable employment
- Great atmosphere and ethical corporate culture
- Agile self-determination, trust, transparency, and open collaboration
- Support needed for the realization of business goals