Director, Software Engineering (P852)

Key Skills

Analytical and Problem solving, Azure, Azure CosmosDB, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Modeling, Data pipelines, Data science techniques, Databricks, DevOps, Effective communication skills, Java Programming, Kubernetes-K8s, Leadership Skill, MongoDB, Python Programming, RabbitMQ, Scala Programming, Scrum Agile Methodology, Snowflake, SPARK Programming, SQL

Job Description

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

Director, Software Engineering

As Director, Software Engineering, you are seen as a technical expert in your area and a leader. You will be expected to lead a team of Data Engineers in the design and implementation of solutions and applications. As part of this role, you will also provide technical insight and mentoring to staff in order to deliver quality service and solutions. We work with a variety of systems and languages: combining Azure services like Databricks, Storage Accounts, Data Factory, App Services, Kubernetes, CosmosDB, with open-source technologies such as Spark and other bleeding edge data engineering tools. 

• Execute the vision, goals, priorities, and work alongside the team to accomplish them. Ensure high-quality technical solutions. 
• Provide technical guidance and expertise to team members to develop best-in-class software 
• Drive continuous improvement to deliver solutions that are at the forefront of industry leading techniques while also adhering to best practices. 
• Directly support technical mentoring and growth of team’s technical maturity through pairing and other coaching techniques. Grow new mentors from emerging talent. 
• Support a culture of learning and development. Promote and enable technical skills development in support of high-quality code components, systems, and solutions. 
• Work in partnership with Product and Architecture teams to derive technical requirements from business requirements and identify risk areas. 
• Support recruitment and resource plans of the team to hire great development talent; including; recruiting, interviewing, and onboarding/training
• Escalate concerns to leadership, as needed, and remove roadblocks for the team 
• An advocate for 84.51 delivery methodology. 
• Participate in and contribute to Agile team ceremonies; including Backlog Reviews, Retrospectives, Architectural Reviews, team and system demos 
• Lead Communities of Practice. 
• Work cross functionally to align strategy, methodology and execution 

QUALIFICATIONS, SKILLS & EXPERIENCE

• Bachelor's degree in Computer Science, Information Systems, Computer Engineering or another heavily technical program 
• 10+ years’ experience in a hands-on technical role leading/mentoring by example 
• Experience in building Data Engineering solutions is required
• Be a change agent and foster a learn by doing environment 
• Strong software development leadership skills bringing industry proven best practices to fruition 
• Experience building enterprise level software solutions with solid proficiencies in performance tuning and debugging 
• Experience building distributed data pipelines ingesting data from multiples sources 
• Experience with data modeling, managing data access and applying data storage techniques 
• Exceptional judgment, strategic thinking, and creative problem-solving skills. Strong analytical mind. 
• Comfortable with thinking outside the box and challenging the status quo, respectfully and courageously, to deliver results in a dynamic environment.  
• Mastery in many of the following tech skills and principles: 
• Agile Experience 
• Experience with Java, Python or Scala 
• Git 
• Microservice design principles 
• CI/CD 
• Automated Testing 

Desired Characteristics & Technical Skills: 

• Knowledgeable and experienced in the following tech skills and principles: 
• Technical Management experience 
• Agile Methodology 
• SQL 
• MongoDB 
• RabbitMQ 
• Snowflake 
• Python Spark DevOps principles