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Data Engineer Lead Database (Mongo, SQL),

Sumeru Solutions

Atlanta, GA

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Apache Hadoop, Apache Spark, Application Programming Interface (API), Best Practices, Big Data, Business Analysis, Business Architecture, Cloud Computing, Code Reviews, Coding Standards, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Mart, Data Modeling, Data Processing, Data Quality, Data Warehousing, Database Design, Database Extract Transform and Load (ETL), DevOps, Distributed Computing, Ecosystems, GCP (Good Clinical Practices), Health Insurance, Information/Data Security (InfoSec), Leadership, Maintain Compliance, Mentoring, Microservices, Microsoft Windows Azure, MongoDB, Multiplatform/Cross-Platform, NoSQL, People Management, Performance Management, Performance Tuning/Optimization, Quality Monitoring, Regulations, SQL (Structured Query Language), SQL Databases, Scalable System Development, Scrum Project Management and Software Development, Snowflake Schema, Sprint Planning, Star Schema, Stored Procedures, Structured Data, Systems Reliability, Team Lead/Manager, Technical Leadership, Technical/Engineering Design, Unstructured Data
LOCATION
Atlanta, GA
POSTED
2 days ago
Job Description - Data Engineering Tech Lead (7-10+ Years Experience)

Role Overview We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms. The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions. Key Responsibilities Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows Build robust data ingestion frameworks for structured and unstructured data sources Architect and implement data lakes, data warehouses, and data marts Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems) Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas) Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Provide guidance on best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making Foster a culture of continuous improvement and innovation Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable Required Skills & Experience 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration Data warehousing and data modeling concepts Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP) Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines Proven experience in leading and mentoring engineering teams Preferred Skills Experience in Healthcare / Insurance / Data Analytics platforms Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.) Experience in data governance and data quality frameworks Familiarity with API integrations and microservices architecture

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Sumeru Solutions

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