Senior Lead Data Analytics Engineer
Atlanta, GA - 6305 Peachtree Dunwoody Rd Bldg A, United States
Full Time Senior-level / Expert USD 131K - 219K
Cox Enterprises
Empower to build. The story of Cox Enterprises is one of hard work, respect for employees, entrepreneurship and making bold decisions.Company
Cox Communications, Inc.Job Family Group
Engineering / Product DevelopmentJob Profile
Sr Lead Data EngineerManagement Level
Sr Manager - Non People LeaderFlexible Work Option
Hybrid - Ability to work remotely part of the weekTravel %
NoWork Shift
DayCompensation
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
We are seeking a highly skilled experienced Senior Lead Data Analytics Engineer responsible for designing, developing and maintaining the data integration and analytics solutions to support initiatives under network operations data effectiveness organization. A proven track record in the Data Integration and Analytics ecosystem with experience in working with leadership teams on developing long term strategies that provide value to the business. To be successful in this role one must be able to work effectively in a high volume, extremely fluid and fast-paced data environments with experience working across latest technologies along with the understanding around data across systems. Senior Lead will balance hands-on technical expertise with thought leadership to deliver scalable, secure, and innovative solutions that meet organization goals
Key Responsibilities:
- Lead multiple projects in data integration, automation, and analytics to provide business insights for the network fulfillment operations team.
- Provide technical expertise in designing and developing AI/ML capabilities to enhance analytics and predictive modeling.
- Design and implement an architecture for efficient data storage, retrieval, and analysis, ensuring data quality and consistency.
- Lead ETL tool consolidation initiatives to build a network fulfillment data effectiveness layer.
- Design and develop ETL solutions in the cloud, leveraging data lake assets and automation solutions in Power Platform.
- Develop automated anomaly detection capabilities across multiple datasets/domains to reliably detect meaningful, actionable anomalies.
- Integrate data from various sources to create a comprehensive view of the organization's business operations.
- Use basic and advanced analytics techniques to extract insights from data for data-driven decision-making.
- Develop and implement process metrics to measure the effectiveness and efficiency of processes.
- Collaborate with business leaders and stakeholders to provide insights for informed decision-making regarding business process effectiveness.
- Recommend process improvement initiatives based on data insights and work with cross-functional teams to identify optimization opportunities.
- Lead data engineers to maintain enterprise standards and best practices, ensuring compatibility, scalability, and integration with other data platforms.
- Ensure team members adhere to data integration and analytics practices within operational bounds consistently.
Qualifications
Minimum:
- Bachelor’s degree in a related discipline and 8 years’ experience in design and developing data engineering solutions.
- The right candidate could also have a different combination, such as a master’s degree and 6years’ experience; a Ph.D. and 3 years’ experience in a related field; or 20 years’ experience in a related field
- Cloud ETL and Analytics experience designing and building end to end production solutions/pipelines
- Exceptional programming skills and ability to utilize a variety of data/analytic tools (e.g., Spark, Tensorflow, Keras, SageMaker, Docker, Python.) and ability to master new languages quickly
- Experience in designing, developing, and maintaining data architectures that support business objectives, including data modeling, schema design, and ETL processes.
- Hands-on SQL experience is a must across on-prem, cloud database technologies
- Familiarity with DevOps practices, including CI/CD pipelines for data integration
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and implementing data-driven AI capabilities
Preferred:
- Experience with data warehousing technologies such as Amazon Redshift or Snowflake is also desirable.
- Experience with big data technologies such as Hadoop, Spark, or Kafka is highly desirable.
- Experience with Tableau, PowerBI to support development activities within the organization
- Strong technical background to effectively understand data and processes within an organization to provide optimization recommendations
- Excellent data analysis skills and experience analyzing complex data sets to identify trends, patterns, insights that can be used to improve business processes.
- Strong leadership skills and the ability to lead teams providing technical solutions, building prototypes and enabling cross functional teams with the information/insights. Should be able to build relationships and collaborate effectively with stakeholders across the organization.
- Excellent communication skills, both written and verbal. The ability to communicate complex ideas and data analysis results to both technical and non-technical audiences is a must.
Benefits
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.About Us
Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.
Tags: Architecture Big Data CI/CD Data analysis Data Analytics Data quality Data Warehousing DevOps Docker Engineering ETL Hadoop Kafka Keras Machine Learning Pipelines Power BI Predictive modeling Python PyTorch Redshift SageMaker Snowflake Spark SQL Tableau TensorFlow
Perks/benefits: Flex hours Flex vacation Health care Insurance Medical leave Parental leave Team events Wellness
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