• AVP Cloud Database Architect

    Insight Global (Thousand Oaks, CA)


    Job Description

    A FinTech client is seeking a Cloud Database Architect to design, implement, and manage their modern cloud data ecosystem. This role will shape enterprise data strategy and architecture, ensuring performance, scalability, security, and automation across AWS and hybrid platforms. You will work heavily with cloud data warehouses, lakehouses, event streaming pipelines, NoSQL platforms, and SQL server in the cloud. The ideal candidate will bring deep expertise in automation, modern data architecture, and DataOps. This is a high visibility group that influences and impacts data strategy and business solutions across the enterprise company.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - 5+ years of experience as a Database Architect or in a similar role with 3+ years in cloud-native data platforms.

     

    - Hands-on experience with NoSQL platforms such as DynamoDB, MongoDB, or Cassandra.

     

    - Deep expertise in PostgreSQL and SQL Server on AWS, including high availability, query optimization, automation, logging, migrations, and performance tuning.

     

    - Background in programming language for automation i.e. Python, PowerShell, AWS CLI, or equivalent

     

    - Experience with observability and monitoring frameworks to ensure resilient, self-healing data systems.

     

    - Strong expertise in event streaming platforms (Kafka, Kinesis, or MSK) for real-time pipelines. Experience with cloud-native data warehouses and lakehouses: AWS Redshift, Snowflake, Databricks, Delta Lake, Apache Iceberg.