Tech Lead, Data Platform - Remote

Overview

Elite Technology is a leading, independent technology company that helps law firms drive profitability through improved operational effectiveness, increased efficiency, and greater visibility across their business. Our cutting-edge digital financial management and business operations solutions drive success for firms around the globe by improving finance and accounting operations, including billing, invoicing, payments, and financial reporting. By bringing together data, insights, and tools, we enable law firm leaders to make informed business decisions to build and manage their businesses more effectively and efficiently.

In Short

• Lead technical direction, architecture design, and code reviews while ensuring alignment with company goals, best practices, and timelines.
• Write high-quality, efficient, and scalable code, solve complex engineering problems, and ensure adherence to best practices through thorough code reviews.
• Drive end-to-end execution of technical projects, managing risks, optimizing performance, and ensuring timely, within-scope delivery.
• Design and implement scalable system architectures, monitor key performance metrics, and optimize costs for SaaS solutions.
• Evaluate and recommend modern technologies, frameworks, and tools to enhance system efficiency, innovation, and long-term strategy.
• Foster a collaborative, high-performance engineering culture, mentor junior engineers, and promote continuous learning.
• Work closely with UX/UI designers, product managers, and QA teams to align technical solutions with business objectives and quality standards.

Requirements

• 10+ years of experience in software development, including 3+ years in a technical lead role, with expertise in building complex business applications and scalable data platforms.
• Expert-level proficiency in the Microsoft Stack, including C#/.NET Core, Angular, and Azure, with hands-on experience in Microsoft Fabric, Azure Data Factory, and Delta Lake for data engineering.
• Deep expertise in Data Engineering, AI & Machine Learning, designing real-time and batch data pipelines, integrating Azure Machine Learning and Microsoft Fabric AI workloads.
• Strong experience in Data Warehousing & Optimization, managing Microsoft Fabric Data Warehouse, Synapse Analytics, and Snowflake, with a focus on data modeling, SQL performance, and governance.
• Hands-on experience in Cloud Infrastructure & DevOps, leveraging Azure Kubernetes Service (AKS), Terraform, Pulumi, and CI/CD pipelines to streamline deployment and scalability.
• Expertise in API & Data Integration, developing RESTful APIs, GraphQL, and OData services to enable seamless data access and interoperability across platforms.
• Strong knowledge of Real-Time & Event-Driven Architectures, optimizing low-latency data processing with Azure Event Hubs, Kafka, and OpenTelemetry monitoring.
• Exceptional problem-solving and leadership skills, mentoring engineers, fostering innovation, and driving collaboration between technical and business stakeholders.
• Excellent communication and stakeholder management abilities, ensuring alignment between engineering, product, and business objectives for platform success.

Benefits

• Competitive Compensation Package ($160,000 - $180,000 base salary + variable component)
• Comprehensive Healthcare Coverage (Health, Dental, Vision)
• Retirement Savings Plan with an Employer Contribution
• Professional Development Opportunities
• Time Off
• Wellness Initiatives