Senior Database Engineer – Azure Data Platform

We are seeking a highly skilled<\/span><\/span> <\/span><\/span><\/span>Database Engineer<\/span><\/span> <\/span><\/span><\/span>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.
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You will join a team of talented engineers in a<\/span><\/span> <\/span><\/span><\/span>fast\-paced, agile environment, contributing to the development of an innovative<\/span><\/span> <\/span><\/span><\/span>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.
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The ideal candidate brings strong expertise in<\/span><\/span> <\/span><\/span><\/span>SQL Server within Azure PaaS environments<\/span><\/span> <\/span><\/span><\/span>and can provide technical guidance to engineering and product teams to ensure high\-performing and secure data solutions. This position reports to the<\/span><\/span> <\/span><\/span><\/span>Data and Analytics Manager.<\/span><\/span><\/p>

Key Responsibilities
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• Partner with a team of database engineers to support<\/span><\/span> <\/span><\/span><\/span>enterprise data initiatives and platform reliability.
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• Design, develop, and optimize<\/span><\/span> <\/span><\/span><\/span>SQL objects including stored procedures, functions, tables, views, and triggers.
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• Monitor, tune, and maintain database performance, capacity, and scalability.
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• Develop long\-term strategies to support the<\/span><\/span> <\/span><\/span><\/span>reliability and growth of critical data systems.
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• Research and implement database solutions aligned with product requirements.
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• Diagnose and resolve database and infrastructure\-related performance issues.
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• Support environments running<\/span><\/span> <\/span><\/span><\/span>multiple SQL platforms including PostgreSQL.
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• Manage data lifecycle processes including<\/span><\/span> <\/span><\/span><\/span>migration, replication, user access, backups, and recovery.
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• Enforce and maintain<\/span><\/span> <\/span><\/span><\/span>data security, retention, and governance policies.
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• Contribute to cloud\-based platform infrastructure across<\/span><\/span> <\/span><\/span><\/span>IaaS, PaaS, and SaaS environments.
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• Collaborate with development teams using<\/span><\/span> <\/span><\/span><\/span>modern source control tools such as GitHub or Bitbucket.
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  Qualifications
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  • Bachelor’s degree in<\/span><\/span> <\/span><\/span><\/span>Computer Science, Computer Engineering, or related field, or equivalent experience.
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  • 5+ years of hands\-on experience with MS SQL Server \/ T\-SQL.
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  • 3+ years of experience supporting enterprise database systems in production environments.
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  • 5+ years of experience with Databricks in Azure.
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  • Strong programming experience with<\/span><\/span> <\/span><\/span><\/span>Python and PySpark, working with large\-scale financial datasets.
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  • Proven experience building and maintaining<\/span><\/span> <\/span><\/span><\/span>secure, high\-performance data processing pipelines.
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  • Excellent<\/span><\/span> <\/span><\/span><\/span>communication and collaboration skills.
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  • Highly organized, proactive, and able to manage multiple priorities in a fast\-moving environment.<\/span><\/span><\/span>
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  • MUST be a US Citizen​<\/span><\/span><\/span>
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    Preferred Skills
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    • Experience designing<\/span><\/span> <\/span><\/span><\/span>complex ETL pipelines across multiple platforms.
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    • Familiarity with<\/span><\/span> <\/span><\/span><\/span>Parquet, Delta Lake, and Medallion data architecture.
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    • Experience with<\/span><\/span> <\/span><\/span><\/span>Atlassian tools (JIRA, Confluence, Bitbucket).
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    • Exposure to<\/span><\/span> <\/span><\/span><\/span>CI\/CD pipelines and automation tools such as Azure DevOps or TeamCity.
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    • Hands\-on experience with<\/span><\/span> <\/span><\/span><\/span>Microsoft Azure cloud services.
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    • Knowledge of<\/span><\/span> <\/span><\/span><\/span>Microsoft Fabric, Power BI, or similar analytics tools.
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    • Experience working in<\/span><\/span>