Google Cloud Data Architect & IAM Data Modernization
Retail IndustryDallas, Texas
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Overview
Schedule
Full-time
Education
Google (Analytics, Adwords, etc.)
Career level
Senior-level
Remote
Hybrid remote
Job Description
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.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
FAQs About Google Cloud Data Architect & IAM Data Modernization Jobs at Retail Industry
What is the work location for this position at Retail Industry?
This job at Retail Industry is located in Dallas, Texas, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Retail Industry?
Employer has not shared pay details for this role.
What employment applies to this position at Retail Industry?
Retail Industry lists this role as a Full-time position.
What experience level is required for this role at Retail Industry?
Retail Industry is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Google (Analytics, Adwords, etc.). Candidates with relevant qualifications or equivalent experience may also be considered.
What is the process to apply for this position at Retail Industry?
You can apply for this role at Retail Industry either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.