DATA ARCHITECT (Remote Home, US)
About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Position Title: GCP Data Architect Location: Wilmington, DE or Remote Project Type: Fulltime Position Summary The Principal Data Architect will serve as the technical authority and strategic leader for enterprise data platform modernization, driving the design and implementation of a cloud-native data architecture on Google Cloud Platform. This role requires deep expertise in large-scale data warehouse migrations, modern data architecture patterns, and the ability to deliver scalable, secure, and cost-effective technical solutions. Core Responsibilities Strategic Architecture & Design
- 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 Technical Leadership & Execution
- 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 Stakeholder Engagement & Communication
- 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 Team Development & Mentorship
- 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
Required Qualifications
Technical Expertise
- 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 Qualifications
- 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
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