Google Cloud Data Architect & IAM Data Modernization

Role: Google Cloud Data Architect – IAM Data Modernization Location: Dallas, TX / Charlotte, NC/ Iselin, NJ, / Chandler, AZ / Ohio, Delaware (Hybrid) *Must be a US Citizen/ GC only About Position: Identity & Access Management (IAM) Data Modernization – migration of an on‑premises SQL data warehouse to a target‑state Data Lake on Google Cloud (GCP) , enabling metrics & reporting, advanced analytics, and GenAI use cases (natural language querying, accelerated summarization, cross‑domain trend analysis) leveraging PySpark‑based processing, cloud‑native DevOps CI/CD pipelines, and containerized deployments on OpenShift (OCP) to deliver scalable, secure, and high‑performance data solutions. What You'll Do: 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 GCP Secret Manager Ownership of observability, SLOs, dashboards, alerts, and runbooks Proficiency in logging, monitoring, and alerting for data pipelines and platform reliability 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 (GCP) 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 · Experience with Hadoop/HDFS architecture, distributed file systems, and data locality principles Hands-on experience with columnar data formats (Parquet, Avro, ORC) and compression techniques Expertise in partitioning strategies , backfills, and large-scale data organization Ability to design data models optimized for analytics and BI consumption Data Ingestion & Orchestration · Experience building batch and streaming ingestion pipelines using GCP-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 Analytics & Data Serving · Expertise in BigQuery performance optimization and data serving patterns · Experience building semantic layers and governed metrics for consistent analytics · Familiarity with BI integration , access controls, and dashboard standards · Understanding of data exposure patterns via views, APIs, or curated datasets 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 Expertise You'll Bring: Experience: [10–14]+ years in DevOps and Data Architecture, 5+ years designing on Pyspark/GCP/OCP at scale; prior on‑prem → cloud migration a must. Education: Bachelor’s/Master’s in Computer Science, Information Systems, or equivalent experience. Certifications:Google Cloud Professional Cloud Architect/DevOps/OCP (required or within 3 months). Plus: Professional Data Engineer, Security Engineer Flexible work from home options available. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations. We offer a comprehensive suite of solutions including business and technology consulting, Cloud,e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support.