Lead Data Engineer

Lead Data Engineer

Job Summary:

The Lead Data Engineer is responsible for orchestrating, deploying, maintaining, and scaling cloud or on-premise infrastructure for big data and platform data management. This includes relational and NoSQL databases, distributed systems, and converged platforms, with a strong focus on reliability, automation, and performance. This role leads the development of data solutions, enabling the organization to derive meaningful insights and business value.

Essential Functions:

• 20% Lead the design, implementation, and management of the Data Integration Framework, ensuring best practices for performance and reliability in data management.
• 20% Develop and maintain data infrastructure (e.g., data warehouses, data lakes) and data access APIs, leveraging Hadoop or equivalent MapReduce platforms.
• 15% Provide technical leadership in data modeling for cloud or on-premise Data Warehousing solutions, including Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
• 15% Oversee the delivery of data engineering initiatives, supporting long-term data projects, ad hoc analysis, and ELT/ETL activities. Develop frameworks for structured and unstructured data and implement data extraction, transformation, and loading (ETL/ELT) techniques.
• 15% Enforce best practices for data auditing, scalability, reliability, and performance optimization.
• 10% Analyze data using statistical techniques, generate insights, and provide decision-making support for key projects. Ensure quality control and integrity of data sets from multiple sources.
• 5% Continuously enhance technical knowledge through professional development, including educational workshops, networking, and industry benchmarking.

Qualifications:

<>Education & Experience:</>

• Required:
  • Master s degree in Information Technology, Computer Science, or Business Analytics.
  • 10+ years of experience in database design and ETL development.
  • Proven leadership in data engineering and cross-functional teams, implementing scalable ETL/ELT solutions (batch and streaming) for optimal performance.
  • Hands-on experience with Ab Initio ETL development in Hadoop and AWS ecosystems, relational databases, and data modeling.
• In lieu of a Master s degree: An additional 6 years of relevant work experience.

<>Preferred Skills & Expertise:</>

• Expert proficiency in at least one programming language (SQL, NoSQL, Python).
• Strong knowledge of structured and unstructured database technologies.
• Ability to quickly learn new technologies and adapt to changing environments.
• Strong customer service orientation and stakeholder management skills.
• Proven ability to lead technical teams and drive Big Data and AWS initiatives.
• Excellent organizational skills with the ability to handle multiple priorities.
• Outstanding verbal and written communication skills.

Work Environment & Expectations:

• Must work effectively in a fast-paced environment with changing priorities and deadlines.
• Strong customer service and communication skills, including handling demanding or challenging stakeholders.
• Must disclose any debarment or exclusion from working on Federal healthcare programs.

Licenses/Certifications:

• Required:
  • AWS Certified Big Data - Specialty
  • Cloudera Certified Developer for Apache Hadoop (CCDH)
• Preferred:
  • OCP Java SE 6 Programmer Certification

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Lead Data Engineer

Job Summary:

The Lead Data Engineer is responsible for orchestrating, deploying, maintaining, and scaling cloud or on-premise infrastructure for big data and platform data management. This includes relational and NoSQL databases, distributed systems, and converged platforms, with a strong focus on reliability, automation, and performance. This role leads the development of data solutions, enabling the organization to derive meaningful insights and business value.

Essential Functions:

• 20% Lead the design, implementation, and management of the Data Integration Framework, ensuring best practices for performance and reliability in data management.
• 20% Develop and maintain data infrastructure (e.g., data warehouses, data lakes) and data access APIs, leveraging Hadoop or equivalent MapReduce platforms.
• 15% Provide technical leadership in data modeling for cloud or on-premise Data Warehousing solutions, including Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
• 15% Oversee the delivery of data engineering initiatives, supporting long-term data projects, ad hoc analysis, and ELT/ETL activities. Develop frameworks for structured and unstructured data and implement data extraction, transformation, and loading (ETL/ELT) techniques.
• 15% Enforce best practices for data auditing, scalability, reliability, and performance optimization.
• 10% Analyze data using statistical techniques, generate insights, and provide decision-making support for key projects. Ensure quality control and integrity of data sets from multiple sources.
• 5% Continuously enhance technical knowledge through professional development, including educational workshops, networking, and industry benchmarking.

Qualifications:

<>Education & Experience:</>

• Required:
  • Master s degree in Information Technology, Computer Science, or Business Analytics.
  • 10+ years of experience in database design and ETL development.
  • Proven leadership in data engineering and cross-functional teams, implementing scalable ETL/ELT solutions (batch and streaming) for optimal performance.
  • Hands-on experience with Ab Initio ETL development in Hadoop and AWS ecosystems, relational databases, and data modeling.
• In lieu of a Master s degree: An additional 6 years of relevant work experience.

<>Preferred Skills & Expertise:</>

• Expert proficiency in at least one programming language (SQL, NoSQL, Python).
• Strong knowledge of structured and unstructured database technologies.
• Ability to quickly learn new technologies and adapt to changing environments.
• Strong customer service orientation and stakeholder management skills.
• Proven ability to lead technical teams and drive Big Data and AWS initiatives.
• Excellent organizational skills with the ability to handle multiple priorities.
• Outstanding verbal and written communication skills.

Work Environment & Expectations:

• Must work effectively in a fast-paced environment with changing priorities and deadlines.
• Strong customer service and communication skills, including handling demanding or challenging stakeholders.
• Must disclose any debarment or exclusion from working on Federal healthcare programs.

Licenses/Certifications:

• Required:
  • AWS Certified Big Data - Specialty
  • Cloudera Certified Developer for Apache Hadoop (CCDH)
• Preferred:
  • OCP Java SE 6 Programmer Certification

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.