Atos · 12 hours ago
GCP Data Architect
Atos is seeking a Principal Data Architect to lead the modernization of enterprise data platforms on Google Cloud Platform. The role involves designing and implementing a cloud-native data architecture, overseeing data governance, and driving technical leadership in data integration and architecture optimization.
Responsibilities
Lead the architectural vision for managing and optimizing data warehouse ecosystem on Google Cloud Platform, with BigQuery as the primary analytics engine
Design comprehensive data architecture patterns including data Lakehouse frameworks, real-time streaming architectures, and federated data access layers
Establish enterprise data governance frameworks aligned with DAMA-DMBOK principles, ensuring data quality, lineage, and regulatory compliance
Define data integration strategies spanning batch, streaming, and API-based patterns to support diverse use cases across insurance and membership service lines
Architect and review design for multi-layered data zones (raw, curated, consumption) with appropriate security controls and access patterns
Own the technical design for migration strategies, including schema optimization, performance tuning, and workload migration planning
Design ETL/ELT modernization approaches, transitioning from legacy tools to cloud-native data integration platforms (Dataflow, or partner solutions)
Establish CI/CD pipelines and infrastructure-as-code practices for data platform deployments
Define monitoring, observability, and operational excellence frameworks for production data workloads
Lead proof-of-concept initiatives to validate architectural decisions and de-risk complex technical challenges
Serve as primary technical liaison with customer’s Data Business Unit and IT leadership for multiple initiatives
Translate complex technical architectures into executive-level communications and compelling business narratives
Lead technical deep-dive sessions, demonstrating architecture viability and addressing stakeholder evaluator concerns
Produce comprehensive architecture documentation, decision records, and runbooks aligned with enterprise standards
Provide technical mentorship to data engineering teams, elevating skills in cloud-native data architecture patterns
Establish architectural review processes and technical guardrails to ensure solution quality
Foster a culture of innovation, encouraging experimentation with emerging GCP capabilities like Gemini-powered AI data tools
Qualification
Required
12+ years of experience in enterprise data architecture, with 5+ years focused on cloud data platforms (GCP strongly preferred)
Proven track record leading technical pursuits for $5M+ enterprise engagements
Deep expertise in Google BigQuery architecture, performance optimization, and cost management strategies
Proven experience leading large-scale data warehouse modernization programs
Expertise in data integration tools and patterns (Cloud Dataflow)
Experience with data governance frameworks (DAMA-DMBOK, Data Mesh, Data Fabric concepts)
Knowledge of security and compliance requirements for regulated industries (insurance, financial services)
Exceptional written and verbal communication skills, with ability to present to C-level executives
Experience managing complex stakeholder relationships across business and technology organizations
Preferred
Google Cloud Professional Data Engineer and/or Cloud Architect certifications
Familiarity with insurance industry data models and regulatory requirements
Knowledge of Adobe Analytics, Salesforce Marketing Cloud, and MarTech integration patterns
Experience with FinOps practices and cloud
Company
Atos
Atos provides consulting services and solutions, ranging from supporting strategy development to enterprise solutions and technology.
Funding
Current Stage
Public CompanyTotal Funding
$2.05B2024-12-10Post Ipo Equity· $234.85M
2024-07-15Post Ipo Debt· $1.82B
2010-06-11IPO
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