Data Engineering Lead

Alphareta, United States | Posted on 04/25/2025

We are looking for a highly-skilled Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in Informatica ,
SQL , and database technologies, who canlead a dynamic team to support business intelligence and analytics initiatives.

The successful candidate will be responsible for the end-to-end design,implementation, and maintenance of scalable data systems that align with business needs.

• Design and Implementation :
  Lead the creation and optimization of data solutions that support business analytics, including ETL workflows,database management, and data integration using Informatica and PL/SQL .

• Team Leadership :
  Guide and mentor a team of engineers and developers, offering technical direction, support, and code reviews to ensure the high quality and efficiency of data systems.

• Cross-functional Collaboration :
  Work closely with business analysts ,
  stakeholders ,and product teams to translate business objectives into scalableand efficient data solutions.

• Hands-on Development :
  Play an active role in hands-on coding,debugging, and troubleshooting of data pipelines and workflows to ensure optimal system performance.

• Documentation & Reporting :
  Maintain clear and detailed documentationforall data solutions, including data architecture, ETL processes, and performance metrics. Ensure that technical specifications are well-defined and executed.

• Data Governance :
  Oversee the implementation of data quality standards and governance practices to ensure the integrity and reliability of data across pipelines.

• Incident Resolution :
  Proactively identify potential issues and lead troubleshooting efforts to resolve incidents related to data systems,collaborating with cross-functional teams to ensure prompt resolution.

• Continuous Improvement :
  Recommend and implement improvements to existing systems, applying modern tools and technologies to enhance performance, scalability, and security.

• Innovation :
  
  Explore and introduce new methodologies and technologies to continuously enhance data management processes and provide innovative solutions to business challenges.

• Expertise in Informatica Power Center andother ETL tools, with advanced knowledge of data warehousing and performance optimization techniques.

• Strong command of SQL ,
  PL/SQL , and experience with MSSQL ,
  Teradata , and Oracle databases.

• Proven experience in data integration ,
  ETLdesign , and database architecture .

• Deep understanding of cloud-based technologies ,with experience in Azure ,
  AWS , or GCP being a plus.

• Familiarity with big data technologies such as Hadoop ,
  Hive , and Spark .

• Experience with Agile methodologies and familiarity with Dev Ops practices for code deployment.

• Strong problem-solving and troubleshooting skills with the ability to resolve complex technical issues.

• Excellent communication skills, with a track record of working effectively with both technical and non-technical stakeholders.

• Ability to lead projects from start to finish while maintaining a focus on quality, deadlines, and stakeholder needs.

• Nice-to-Have :
  
  Experience with
  Python or Scala , and in-depth knowledge of customer profitability analysis or the financial services domain.

• Hands-on :
  
  Approximately 80% of the role will involve hands-on development,debugging, and troubleshooting of data systems.

• Innovation & Leadership :
  The remaining 20% will be dedicated to leading innovation initiatives, mentoring junior team members, and driving the evolution of our data systems.