Sr Lead Data Engineer - Cloud

Company

Cox Enterprises

Job Family Group

Engineering / Product Development

Job Profile

Sr Lead Data Engineer

Management Level

Sr Manager - Non People Leader

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $131,600.00 - $219,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

Job Summary

Cox Enterprises' Data Solutions Team is currently looking for a Senior Lead Data Engineer - Cloud to join our team in Atlanta, GA.

The Senior Lead Cloud Data Engineer will end-to-end responsibility for new projects, processes, standards, and the continuous improvement of data and analytics solution delivery across customer portfolios, business partners, and internal initiatives. Additionally, this position will guide data analytics resources to deliver and support solutions that exceed stakeholder needs. This role will solve unique, significant, complex problems and drive creative solutions to provide consistent and standardized data solutions.

The Senior Lead Cloud Data Engineer will have hands-on technical and functional experience with cloud platforms (i.e. Oracle, Azure, Amazon Web Services, Informatica), and functional familiarity with self-service tools (i.e. Tableau, Microsoft Power BI, Alteryx) to support stakeholder requirement. This role will have a history of independent judgment and decision-making across a large span of influence.

Job Responsibilities

Solution Architecture and Design

• Coach, mentor, and develop cloud engineering and platform skills of Data Engineer resources.
• Lead large, complex technology engagements, roadmaps and strategy requiring in-depth data evaluation and critical thinking.
• Provide expert knowledge of modern cloud data architecture patterns and solutions.
• Understand the "big picture" to assess impacts across the Business Intelligence platforms, Corporate IT solutions, and platforms in the Enterprise.
• Recommend technical design consistent with industry best-practices and Cox standards and Industry standards for cloud platforms conforming.
• Partner with Leadership, Portfolio, Enterprise Architecture, Analytics, Security, and Data Governance teams to collaborate on platform solutions and direction and analytics and reporting opportunities and priorities.
• Understand Agile software methodology and tools, encouraging an iterative mindset as the team prepares for a broad transition to agile.
• Develop an understanding of Cox Enterprises applications and their interdependencies with source applications, customers, and business processes within the areas they support.
• Identify solution architectural issues and propose alternative solutions.
• Interact and build trusted relationships with all levels of personnel, including management, from both business and technology teams.
• Know how to identify and mitigate risks and escalate potential business issues.

Data Integration Delivery

• Perform data integrations into Microsoft Fabric, including data sourcing and Fabric ETL development/set-up.
• Support data engineering for analytics products, including transformations, table views, or other needs to enable analytics products developed within lakehouse medallion architecture.
• Monitor and optimize the performance of data pipelines and storage solutions.
• Implement and enhance Data Reliability Engineering (DRE) practices.
• Help prepare Features and User Stories, functional and technical designs, test scenarios, and deployment plans related to the data platform.
• Perform gap analysis related to data processes and database table structures that populate reporting and analytics requirements.
• Construct, manage, monitor, and support data integration between multiple systems.

Qualifications- Required:

• Bachelor’s degree in a related discipline and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years’ experience; a Ph.D. and 3 years’ experience in a related field; or 20 years’ experience in a related field
• Minimum of 8 years of experience as a Data Engineer, with a strong focus on Microsoft Azure.
• 5+ years of experience in Azure services (ADLS, ADF, DevOp