Senior Technical Lead

Sunray Enterprise, Inc.; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Job summary

Sunray Enterprise, Inc. is seeking a Lead Developer to guide the MIGA Data Track, providing hands-on leadership across data engineering, integration, and modernization initiatives.

You will translate business and analytics needs into scalable data solutions using Azure Databricks, Spark/PySpark, SQL, and related Azure services. You will mentor engineers, enforce best practices, and collaborate with data architects to deliver reliable, secure, and maintainable data pipelines and architectures

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or related discipline with significant hands-on enterprise data engineering experience.
• Demonstrated experience as a Lead Developer/Technical Lead for complex integrated data solutions.

Responsibilities

• Provide hands‑on technical leadership across data engineering, integration, transformation, and implementation activities.
• Lead design, development, and modernization of enterprise data solutions translating requirements into scalable implementations.
• Design and develop data pipelines using Azure Databricks, Spark/PySpark, SQL and Azure data services.
• Build and optimize ETL/ELT pipelines and reusable data components across multiple systems.
• Collaborate with Data/Solution Architects to ensure scalable, secure, modular data architectures.
• Lead data integration from multiple applications, databases, APIs, files, and upstream/downstream systems.
• Implement data quality, validation, reconciliation, logging, monitoring, metadata, and audit controls.
• Optimize Spark/Databricks workloads and SQL queries for performance and resource utilization.
• Establish and enforce development standards, code reviews, automated testing, and CI/CD practices.
• Collaborate with DevOps/platform teams to enable CI/CD and DevSecOps using Azure DevOps/GitHub.
• Lead troubleshooting, root‑cause analysis, and production stabilization for complex data processing.

Skills

Lead Developer

Data Engineering

Azure Databricks

Spark/PySpark

SQL

Azure data services

ETL/ELT

CI/CD

DevSecOps

Mentoring

Education

Bachelor's/Master's in CS/Engineering/IT

Tools

Azure DevOps

GitHub

Job description

• Serve as the Lead Developer for the MIGA Data Track, providing hands‑on technical leadership and direction across data engineering, integration, transformation, and implementation activities.
• Lead the design, development, enhancement, and modernization of enterprise data solutions, translating business, reporting, analytics, and data requirements into scalable technical implementations.
• Design and develop data pipelines and processing solutions using Azure Databricks, Apache Spark/PySpark, SQL, and relevant Azure data services, supporting structured and semi‑structured enterprise data.
• Build and optimize ETL/ELT pipelines, data transformation frameworks, ingestion processes, and reusable data components across multiple source and target systems.
• Work closely with Data/Solution Architects to implement scalable, modular, secure, and maintainable data architectures, ensuring development aligns with approved architectural standards and patterns.
• Lead integration of data from multiple enterprise applications, databases, APIs, files, and upstream/downstream systems, ensuring reliable processing, reconciliation, traceability, and interoperability.
• Implement data quality, validation, reconciliation, exception handling, logging, monitoring, metadata, and audit controls to improve reliability and trust in data products.
• Optimize Spark/Databricks workloads, SQL queries, data pipelines, and processing patterns for performance, scalability, reliability, and efficient utilization of platform resources.
• Establish and enforce development standards, coding practices, code reviews, automated testing, version control, security controls, and reusable engineering patterns across the Data Track.
• Collaborate with DevOps/platform teams to implement CI/CD, automated deployment, configuration management, source control, monitoring, and DevSecOps practices using Azure DevOps/GitHub and applicable Azure capabilities.
• Lead technical troubleshooting, root‑cause analysis, defect resolution, performance optimization, deployment support, and production stabilization for complex data processing and integration issues.
• Collaborate with Data Architects, Business/Data Analysts, BI developers, Data Engineers, QA, DevOps, Security, and business stakeholders, while mentoring developers and driving technical reviews, knowledge transfer, and engineering best practices.

Qualification/Experience:

• Bachelor’s/Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or a related discipline, with significant hands‑on experience in enterprise data engineering, data integration, ETL/ELT and cloud‑based data platforms, including demonstrated experience as a Lead Developer/Technical Lead for complex integrated enterprise data solutions.