Technical Architect - Dataflow (GCP)

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.

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.