• Own day-to-day database operations and service requests across cloud-native (Cloud SQL) and legacy SQL Server environments • Write and optimize SQL queries, stored procedures, and data models in support of software and data product teams • Collaborate with architects and engineers to implement scalable, low-latency database services for OLTP and analytical workloads • Build and maintain CI/CD pipelines for schema migrations using Liquibase or Flyway • Contribute to the automation of database provisioning, monitoring, and security hardening using Infrastructure-as-Code (Terraform) • Diagnose and resolve performance issues using telemetry tools to identify slow queries, inefficient indexing, and capacity bottlenecks • Support ETL pipelines and real-time data movement in cloud-native environments, working closely with data engineering teams • Document and maintain operational runbooks, architecture decisions, and troubleshooting guides • Partner with principal engineers and the Enterprise Architecture organization to design reusable patterns and blueprints for common database workloads

• Technically lead the development team, providing direction and support on architecture and implementation decisions • Delegate and track tasks, ensuring delivery meets quality standards and agreed deadlines • Conduct code reviews to ensure adherence to best practices and the development culture • Work hands-on in developing back-end (.NET / .NET Core) and front-end (Angular) solutions • Participate in defining architecture and technical design of solutions • Support the configuration and evolution of CI/CD pipelines and API management via APIM (Azure API Management) • Lead technical meetings with the client and other stakeholders • Assist the team in diagnosing and resolving complex technical issues • Contribute to the team’s technical growth by promoting best practices and the adoption of new technologies

Role Description We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform. The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration. Key Responsibilities - Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP). - Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes. - Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs. - Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows. Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks. - Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog. - AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output. - Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence. Qualifications - Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark. - Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures. - Ability to reverse-engineer and refactor legacy database logic into distributed paradigms. - Hands-on experience with Apache Airflow or similar modern workflow orchestrators. - Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles. - Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows. - 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations. - Bachelor’s or Master's degree in Computer Science, Engineering, or a related technical field. Preferred Certifications - Databricks Certified Data Engineer Associate / Professional - Databricks Certified Solutions Architect - AWS Certified Database Specialist or equivalent Cloud Certifications

Role Description We’re seeking a Golang Developer who will be responsible for designing and building backend components for Faveo’s Helpdesk platform. You'll work closely with the product and engineering teams to implement scalable, efficient, and maintainable microservices using Go. - Build backend components that interface with and support functionality across Linux, Windows, and macOS environments - Efficiently consume and integrate third-party APIs into backend systems - Write clean, well-structured, and testable code following best practices - Implement secure API practices, including authentication and authorization - Debug production issues and provide timely resolutions - Participate in code reviews to maintain code quality - Maintain clear and updated technical documentation for backend components Qualifications - Proficiency in Golang with hands-on development experience - Experience working across multiple OS environments (Linux, Windows, macOS) - Ability to work independently and integrate complex third-party services - Strong debugging and problem-solving skills - Experience with version control systems like Git - Solid understanding of secure coding practices - Must be familiar with CI/CD automation tools and workflows - Clear communication skills and a collaborative mindset Preferred Qualifications - Experience with helpdesk/ticketing platforms or customer support tools - Exposure to open-source project development or contribution - Familiarity with PHP (Laravel) as Faveo’s base product uses it - Knowledge of system performance profiling and optimization techniques Benefits - Work on a widely adopted and growing open-source product - Be part of a collaborative and innovation-driven environment - Flexible working hours and remote work options - Opportunities to contribute to meaningful product decisions - Learning and development opportunities