Lead Data Engineer
REMOTE, GA, US
Flowers Foods
For more than 100 years, the people of Flowers Foods have worked with honesty, integrity, and a true passion for baking.Why Flowers?
Flowers Foods, Inc. (NYSE: FLO) is one of the largest producers of packaged bakery foods in the United States with 2022 sales of $4.8 billion. Among the company's top brands are Nature's Own, Dave's Killer Bread, Wonder, Canyon Bakehouse, and Tastykake. Learn more at www.flowersfoods.com.
Our team is the essential ingredient to success. We embrace diversity and foster an environment that reflects our values of Honesty & Integrity, Respect & Inclusion, Sustainability, Passion, and Humility.
Full-time employees are offered:
- Comprehensive health and medical benefits
- 401(k) Retirement savings plan
- Professional growth and leadership training
- Paid vacation, holidays, and parental leave
Benefits may vary depending on your work location and your participation in a collective bargaining unit.
Summary
The Lead Data Engineer leads the overall technical architecture and design of Data Warehouse solutions. Role is accountable for ensuring we have aligned data architecture across all projects, enforcing design standards, and leads a team of engineers and solution architects in the design, development and testing of data pipelines to enable Data Visualization and Data Science solutions.
This position requires a self-motivated and results-driven leader.
Job Responsibilities
• Develop overall design of Azure SQL/Data Lake and SAP Business Warehouses/eHANA
• Ensure a consistent data domain architecture is followed across all projects
• Ensure that the delivery of the projects align to longer-term strategic roadmaps
• Accountable for the overall technical data platform, including sizing, configuration and needs assessment.
• Work with managed services team to ensure proper resolution of critical incidents and enhancements
• Partner with Infrastructure team on performance related issues and hardware and software upgrades
• Lead and mentor data engineer team members
• Continually assesses impact of emerging SAP data and analytics technologies against strategic business needs
• Ability to quickly grasp understanding of source data structures, data models and relationships between different types of data
• Develop strong understanding of the data and builds business acumen
• Identify and recommend appropriate continuous improvement opportunities and ensures integrations are automated and have proper exception handling
• Comply with all company policies and procedures (EEO, Sexual Harassment, Safety, Sarbanes Oxley, etc.).
• Perform other duties which are deemed to be an integral part of the position, including but not limited to fulfillment of work schedules, adherence to attendance policies, and other applicable operating rules, policies, and procedures.
Desired Experience
• At least 15 years of professional Information Technology experience, including:
• At least 5 years of extensive SAP Business Warehoue/eHANA experience;
• Knowledge of other data warehousing solutions such as Azure SQL, BigQuery, Hadoop, Databricks, or Snowflake, desired;
• Willing to stay abreast of industry best practices and trends and – through acquired knowledge- has ability to take advantage of process and system improvement opportunities; and
• Experience in Consumer Products Industry preferred.
Desired Education
• An undergraduate or postgraduate degree in computer science, information systems, software engineering, or a related field is preferred.
We offer a competitive salary and an excellent total rewards package. Please reply by 8/1/2024. Resumes are active for 30 days. Interested job seekers who successfully complete the series of pre-screening questions and who appear to possess the basic qualifications for this position may be contacted for a telephone interview.
Equal Opportunity Employer/Veterans/Disability
If you need assistance with submitting your resume due to a medical condition or disability, please send an e-mail to Joanie Lampkin Stringer at Joanie.Stringer@flocorp.com or 229 551-3103 .
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure BigQuery Computer Science Databricks Data pipelines Data visualization Data warehouse Data Warehousing Engineering Hadoop Pipelines Snowflake SQL Testing
Perks/benefits: Career development Competitive pay Health care Medical leave Parental leave
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