Senior Architect - Platform & Data (Hybrid Cloud/Data) ::Plano TX (Local only) (onsite)
Role details
Job location
Tech stack
Job description
We are looking for a high-caliber Senior Architect to own the intersection of Platform Engineering and Data Strategy. You will be responsible for designing a unified, secure, and highly automated ecosystem where infrastructure and data are treated as a single, cohesive product. This is a leadership role that requires deep technical expertise in cloud-native platforms (K8s, Serverless) and modern data architectures (Data Lakehouse, Fabric, Mesh).
Key Responsibilities
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Platform Architecture & Cloud Strategy ? Cloud-Native Foundation: Architect and govern scalable, resilient cloud platforms using Kubernetes (GKE/AKS/EKS) and Infrastructure as Code (Terraform/Crossplane). ? Landing Zone Excellence: Define and implement enterprise-grade Cloud Landing Zones, ensuring networking, IAM, and security guardrails are baked into the platform. ? DevOps/Platform Engineering: Establish Internal Developer Platforms (IDP) that empower data engineers to deploy resources autonomously via GitOps (GitHub Actions/ArgoCD).
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Data Architecture & Engineering ? Data Lifecycle Design: Architect end-to-end data pipelines and storage strategies using Data Lakehouse patterns (e.g., Delta Lake, Iceberg) or Microsoft Fabric/Synapse. ? Governance & Privacy: Design data security architectures including encryption at rest/transit, data masking, and compliance frameworks (GDPR/SOC2). ? Interoperability: Ensure the data platform integrates seamlessly with AI/ML workloads, BI tools (Power BI/Looker), and third-party APIs.
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Strategic Leadership ? Technical Roadmap: Define the 3-year vision for both Platform and Data, aligning technology investments with business growth. ? Cost Governance (FinOps): Implement rigorous cost-monitoring for high- compute data workloads (Spark, BigQuery, Snowflake) to ensure architectural efficiency. ? Mentorship: Act as the ultimate technical escalation point and mentor for Lead Engineers across the Infrastructure and Data departments., Position: Data Analyst Location: Plano, TX Work mode: Hybrid (On-site 3 days/week, 2 days remote) Duration: 6+ months Interview Mode: Video Must Have: Current Telecom Pr…
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Requirements
? 12+ Years in IT: A proven track record of evolving systems from legacy on- prem to high-maturity cloud environments. ? Multi-Domain Mastery: Deep expertise in at least one primary cloud (GCP or Azure) and professional-level competency in data modeling. ? K8s & Orchestration: Advanced knowledge of Kubernetes, Service Mesh, and container security. ? IaC Specialist: Expert-level Terraform and Python skills for high-level automation. ? Modern Data Stack: Hands-on experience with Spark, Airflow, and distributed data warehouses (Snowflake, BigQuery, or Synapse).
Professional Attributes
? The "Systems Thinker": You don't just see a database; you see the network, the compute, the security layer, and the end-user impact. ? Influencer: Ability to present complex architectural trade-offs to stakeholders and C-suite executives. ? Pragmatic Visionary: You stay ahead of trends (like Generative AI infrastructure) but prioritize stability and security for production.