Google Cloud Platform Data Architect (Local Only) Role location: Seattle, WA. Type: Contract. Number of positions: 2. The Solution Architect is responsible for designing comprehensive IT solutions that address business needs, integrating multiple technologies, and ensuring consistency with enterprise architecture standards. They will lead the analysis of process and application flows, contribute to architectural strategy, and create detailed documentation for best practices and solution patterns. Responsibilities Develop end-to-end IT solutions by integrating diverse technologies and platforms. Analyze business requirements and translate them into scalable architecture designs. Map and document end-to-end solution flows, identifying gaps and optimization opportunities. Define and document best practices, standards, and guidelines for technology adoption, implementation, and maintenance. Collaborate with cross-functional teams including development, operations, and business stakeholders. Lead architectural reviews, risk assessments, and impact analyses for new and existing solutions. Ensure solutions adhere to security, compliance, and performance standards. Stay updated on industry trends and emerging technologies to drive innovation. Technical Skills Proven experience designing and deploying solutions using Kubernetes for container orchestration and microservices. Hands-on expertise with event streaming and messaging systems. Proficiency in designing and managing API gateways and service meshes. Strong background in system integration, cloud architectures, and DevOps practices. Familiarity with CI/CD pipelines, infrastructure as code, and automated testing frameworks. Ability to create comprehensive architectural documentation, diagrams, and best-practice guides. Preferred Skills Experience with cloud and hybrid architectures. Working knowledge of security best practices for distributed systems. Understanding of batch and micro-batch patterns. Experience in ETL/ELT. Exposure to EDW / Database / OLTP, SQL / NoSQL. Good to Have AWS, Azure, Kubernetes, Apigee, Kafka, Snowflake, Data Bricks, Spark, Redis. Professional certifications related to architecture, Kubernetes, Kafka, or cloud platforms are a plus. Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Software Development Referral notices: Referrals may increase your chances of interviewing. #J-18808-Ljbffr Jobs via Dice
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