Google Cloud Platform Data Architect

• Bachelor’s degree in related field Big Data & Processing

• Hands on experience with PySpark for ETL/ELT, data transformation, and performance optimization

• Solid understanding of distributed data processing concepts Data & Cloud Architecture

• Strong experience designing data platforms on Google Cloud Platform (Google Cloud Platform)

• Experience with Data Lakes, data warehousing, and large scale migration programs Data Lake Architecture & Storage

• Proven experience designing and implementing data lake architectures (e.g., Bronze/Silver/Gold or layered models).
• Strong knowledge of Cloud Storage (GCS) design, including bucket layout, naming conventions, lifecycle policies, and access controls
• Hands-on experience with columnar data formats (Parquet, Avro, ORC) and compression techniques

• Expertise in partitioning strategies, backfills, and large-scale data organization Data Ingestion & Orchestration

• Experience building batch and streaming ingestion pipelines using Google Cloud Platform-native services
• Knowledge of Pub/Sub-based streaming architectures, event schema design, and versioning
• Strong understanding of incremental ingestion and CDC patterns, including idempotency and deduplication
• Hands-on experience with workflow orchestration tools (Cloud Composer / Airflow)

• Ability to design robust error handling, replay, and backfill mechanisms Data Processing & Transformation

• Experience developing scalable batch and streaming pipelines using Dataflow (Apache Beam) and/or Spark (Dataproc)
• Strong proficiency in BigQuery SQL, including query optimization, partitioning, clustering, and cost control.
• Hands-on experience with Hadoop MapReduce and ecosystem tools (Hive, Pig, Sqoop)
• Advanced Python programming skills for data engineering, including testing and maintainable code design

• Experience managing schema evolution while minimizing downstream impact DevOps / CI CD

• Experience implementing CI/CD pipelines for data and analytics workloads

• Familiarity with Git based source control, build automation, and deployment strategies Containers & Platform

• Experience with OpenShift Container Platform (OCP) for deploying data workloads and services
• Understanding of containerized architecture, scaling, and environment management
• Proven ability to build CI/CD pipelines for data and infrastructure workloads
• Experience managing secrets securely using Google Cloud Platform Secret Manager
• Ownership of observability, SLOs, dashboards, alerts, and runbooks

• Proficiency in logging, monitoring, and alerting for data pipelines and platform reliability Data Governance, Quality & Metadata

• Experience implementing data catalogs, metadata management, and ownership models
• Understanding of data lineage for auditability and troubleshooting
• Strong focus on data quality frameworks, including validation, freshness checks, and alerting
• Experience defining and enforcing data contracts, schemas, and SLAs

Good to have Security, Privacy & Compliance

• Hands-on experience implementing fine-grained access controls for BigQuery and GCS
• Experience with Sprint planning and helping team technically.
• Strong stakeholder communication and solution architecture skills