We are seeking a highly skilled
Database Engineer
who is passionate about building, optimizing, and maintaining large-scale data platforms. In this role, you will work across the full lifecycle of database systems—from architecture and configuration to performance tuning and operational reliability.

You will join a team of talented engineers in a
fast-paced, agile environment, contributing to the development of an innovative
multi-tenant, cloud-based payments platform. This role is ideal for a motivated self-starter who enjoys solving complex data challenges and collaborating with cross-functional engineering teams.

The ideal candidate brings strong expertise in
SQL Server within Azure PaaS environments
and can provide technical guidance to engineering and product teams to ensure high-performing and secure data solutions. This position reports to the
Data and Analytics Manager.

Key Responsibilities

• 
  Partner with a team of database engineers to support
  enterprise data initiatives and platform reliability.
• 
  Design, develop, and optimize
  SQL objects including stored procedures, functions, tables, views, and triggers.
• 
  Monitor, tune, and maintain database performance, capacity, and scalability.
• 
  Develop long-term strategies to support the
  reliability and growth of critical data systems.
• 
  Research and implement database solutions aligned with product requirements.
• 
  Diagnose and resolve database and infrastructure-related performance issues.
• 
  Support environments running
  multiple SQL platforms including PostgreSQL.
• 
  Manage data lifecycle processes including
  migration, replication, user access, backups, and recovery.
• 
  Enforce and maintain
  data security, retention, and governance policies.
• 
  Contribute to cloud-based platform infrastructure across
  IaaS, PaaS, and SaaS environments.
• 
  Collaborate with development teams using
  modern source control tools such as GitHub or Bitbucket.

Qualifications

• 
  Bachelor’s degree in
  Computer Science, Computer Engineering, or related field, or equivalent experience.
• 
  5+ years of hands-on experience with MS SQL Server / T-SQL.
• 
  3+ years of experience supporting enterprise database systems in production environments.
• 
  5+ years of experience with Databricks in Azure.
• 
  Strong programming experience with
  Python and PySpark, working with large-scale financial datasets.
• 
  Proven experience building and maintaining
  secure, high-performance data processing pipelines.
• 
  Excellent
  communication and collaboration skills.
• 
  Highly organized, proactive, and able to manage multiple priorities in a fast-moving environment.
• 
  MUST be a US Citizen​

Preferred Skills

• 
  Experience designing
  complex ETL pipelines across multiple platforms.
• 
  Familiarity with
  Parquet, Delta Lake, and Medallion data architecture.
• 
  Experience with
  Atlassian tools (JIRA, Confluence, Bitbucket).
• 
  Exposure to
  CI/CD pipelines and automation tools such as Azure DevOps or TeamCity.
• 
  Hands-on experience with
  Microsoft Azure cloud services.
• 
  Knowledge of
  Microsoft Fabric, Power BI, or similar analytics tools.
• 
  Experience working in
  PCI or SOC2 compliant environments.
• 
  Familiarity with
  AI-assisted coding tools such as Claude Code.
• 
  Prior experience in the
  payments or financial services industry.