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Known employer, metro location, and senior but specialized data role yield medium competition.
Core data-engineering skills are transferable, though financial/risk domain knowledge moderately favors industry experience.
Explicit 8+ years, mandatory database, cloud, and Snowflake/Terraform skills make shortlisting highly strict.
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Lead design and optimization of scalable SQL and NoSQL data architectures for analytics and data science platforms.
Own database reliability, performance, and enterprise-wide data modeling standards, ensuring scalability and maintainability.
Provide technical leadership, mentorship, and partner across teams translating business requirements into scalable architectures.
8+ years professional Database Engineering experience with leadership of technical projects and senior engineers.
Expert-level SQL skills (advanced T-SQL or PL/SQL) and strong production programming in Python, Java, or Scala.
Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
Hands-on experience with relational (PostgreSQL, SQL Server) and cloud data warehouses (Snowflake, Redshift) plus cloud platform expertise (AWS, Azure, or GCP).
Experienced in designing and enforcing enterprise-wide data modeling standards like Star Schema or Data Vault.
Proven track record handling database performance tuning, resource optimization, and complex query design at scale.
Familiar with building and governing secure, compliant data frameworks including data quality monitoring and automations.