Senior Architect Data Architecture

Required Skills

• Around 8 years in a data specialty such as engineering, platforms, or analytics, with 2+ years leading end to end solution design and architecture for complex initiatives across data, integration, application, infrastructure, and security
• Proven experience in multiple data focused roles including Data Engineer (ETL/ELT), Data Architect, Database Administrator, BI or Analytics Engineer, Data Science, data governance, or a similar field
• Competency in architecture frameworks, performance optimization, and addressing cross-cutting concerns including availability, caching, monitoring, scalability, and security
• Strong problem solving and strategic thinking, with a demonstrated ability to lead architectural governance, mentor engineers, and influence cross functional teams and executives in distributed environments
• Strong expertise in designing data and cloud architecture, AWS preferred, supporting scalability, performance, and security with systems such as Snowflake or Redshift
• Proven ability to translate complex data into actionable business insights and reporting solutions that provide comprehensive and up to date information to business users
• Bachelor’s degree in Computer Science , Information Systems, or related discipline

Nice to Have Qualifications

• Streaming and event driven data specialist experience building and operating Kafka or Kinesis based architectures including ordering, replay, schema evolution, and real time observability
• API and integration specialist experience designing API first data access patterns, API lifecycle governance, versioning, security, and developer enablement, plus event driven integration patterns to reduce point to point complexity
• Data platform modernization specialist experience designing large scale ingestion and processing platforms using Spark or comparable distributed compute and orchestrating reliable batch and near real time pipelines
• Data security and privacy specialist experience implementing encryption, masking or tokenization, access controls, and auditability patterns for sensitive data and regulated environments
• Cloud cost and performance specialist experience applying FinOps practices, workload right sizing, storage optimization, and performance engineering for cloud data platforms
• DevOps for data specialist experience building CI/CD for data pipelines, infrastructure as code practices, and container platforms such as Kubernetes or EKS for data workloads
• Applied AI and GenAI specialist experience designing safe enterprise patterns for retrieval, evaluation, monitoring, and responsible AI adoption
• Broad polyglot engineering specialist experience with Java, microservices patterns, and third party API integrations that support data intensive services
• Certifications such as AWS Certified Solutions Architect (Associate or Professional)

Education

Physical Requirements/Working Conditions

• Normal Office Working Conditions
• We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.