Technical Architect - Dataflow (GCP) Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Dataflow (GCP) Professionals in the following areas :

Data Architect :

• Looking for GCP Data Architect with 12+ Yrs of experience. Should have experience on GCP, Snowflake & Databricks.
• The Data Architect is responsible for defining, designing, and governing enterprise data architecture that enables scalable analytics, operational reporting, regulatory compliance, and data-driven decision-making.
• This role translates business strategy and stakeholder requirements into resilient data models, integration patterns, migration roadmaps, and platform standards.
• A key focus of the role is leading cloud data modernization initiatives, including migrations to Google Cloud Platform (GCP), Snowflake sandbox to-production enablement, and Databricks-based lakehouse capabilities.
• The Data Architect ensures data solutions are secure, cost-effective, performant, reusable, and aligned with enterprise architecture, governance, and delivery standards.

Key Responsibilities:

• 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 SBX migration paths, environment promotion standards, data modeling, role-based access, performance tuning, and cost governance.
• Design Databricks lakehouse patterns for batch/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.

Technical Skills:

• GCP data services: BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, IAM, VPC/service controls, and Cloud Monitoring.
• Snowflake architecture: databases/schemas, warehouses, stages, streams/tasks, Snowpipe, dynamic tables, secure sharing, masking, RBAC, and cost optimization.
• Databricks: 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.
• Migration methods: discovery, profiling, mapping, dependency analysis, parallel runs, reconciliation, performance testing, and release planning.
• Security and governance: encryption, secrets, least privilege, PII/PHI handling, audit logging, retention, and policy-based access.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture