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The company is looking to solve the problem of digital transformation and data architecture, requiring a Senior Architect to lead the architectural vision and execution for complex, large-scale initiatives that leverage cutting-edge cloud technologies and data-driven ecosystems.

Requirements

• Proven expertise with cloud platforms AWS, Azure, and GCP, including services for data warehousing, lake houses, and streaming analytics.
• Strong hands-on experience with microservices, hybrid cloud solutions, and front-end federated architectures.
• Deep knowledge of real-time data processing frameworks (Kafka, Spark Streaming, Flink) and unstructured data management using NoSQL stores (MongoDB, Cassandra).
• Proficient in SQL, Python, Scala, and experience with vector databases (e.g., Pinecone, Weaviate) for AI-powered use cases.
• Extensive background in data governance, compliance, identity management, and security best practices.
• Experience with implementing Lakhouse architecture on-Prem and cloud.
• Experience with infrastructure-as-code tools like Terraform or CloudFormation.

Responsibilities

• Own and drive the enterprise-wide architecture strategy for digital transformation initiatives, leveraging microservices, AI-driven solutions, real-time integrations, and heterogeneous data sources/formats.
• Conceptualize, design, and deliver scalable, resilient, and secure platform solutions supporting evolving business needs.
• Architect and implement system integration solutions, integrating Salesforce, ServiceNow, custom applications, customer-facing channels, data lakes, and cloud data warehouses (e.g., Redshift, Snowflake, BigQuery).
• Define standards, best practices, and reference architectures for APIs, event-driven integration, and data interoperability across the enterprise
• Lead end-to-end solution architecture across hybrid environments, ensuring seamless integration between applications, data infrastructure, and cloud services on AWS, Azure, and GCP platforms.
• Drive the design and optimization of real-time streaming data pipelines using Kafka, Spark Streaming, Flink, or equivalent technologies, ensuring high throughput and low latency.
• Define best practices for data modeling, quality, governance, and security across relational and NoSQL databases, ensuring compliance and operational excellence.

Other

• Bachelor's or master's degree in computer science, Information Technology, or related discipline.
• 15+ years of progressive experience in enterprise architecture with deep expertise in data architecture and digital transformation.
• Demonstrated ability to influence senior stakeholders and present complex technical concepts clearly across diverse audiences.
• Agile methodology experience, with strong leadership skills to manage cross-disciplinary teams and foster innovation.
• Travel to Pittsburg, Cleveland, Dallas