Team Lead

Summary:

We are seeking a skilled and motivated Team Lead Cloud Data Engineer. This role is pivotal in the modernization of a mission critical, service delivery platform built on AWS. You will lead a team comprised of data engineering, architecture, and analysis in transforming this data insights model and building a robust technology stack. It is critical that this person is skilled in not just understanding the tech stack, but in planning projects into executable tasks that will ladder to achieving the end goal and be able to clearly communicate our the delivery plan.

Key Responsibilities:
Lead a team of 4, including 1 architect, 2 engineers, and a Tableau developer. Conduct weekly meetings, run sprints, and plan for the team.
Plan, organize, and execute project timelines. Write tickets and stories, coordinate with stakeholders, and ensure clear direction for the team.
Provide technical mentoring to the team, especially in cloud engineering and data infrastructure.
Build and manage data pipelines, from ingest of realtime sources to batch solutions to enable measurement of platform performance and customer journey friction.
Work extensively with AWS technologies including S3, EMR/EC2, DocumentDB, and Managed Service Kafka (MSK).
Handle cross-account sharing, private network pairing, and firewall policies in an enterprise network environment.
Implement Agile methodologies, run 2-week sprints, and manage workflows using Jira.
Maintain effective communication with stakeholder leadership, understand and communicate project vision, development timelines, and QA frameworks.

Required Skills:

Leadership: Experience in leading teams, stakeholder communication, writing tickets and stories, and understanding project vision and timelines.

Agile/Waterfall: Skilled in Agile and Waterfall methodologies, running sprints, and managing workflows in Jira.

Cloud Engineering: Strong background in cloud data engineering, preferably with AWS.

Data Engineering: Experience in building data pipelines and managing infrastructure as code.

Technical Stack: Proficiency in AWS, S3, EMR/EC2, Spark/Pyspark, Kafka, DocumentDB(Mongo) and converting JSON data into column format data.

CI/CD: Hands-on experience with GitLab, Bitbucket, and working within a CI/CD process.

Networking: Knowledge of enterprise network environments, firewall policies, and cross-account sharing.

Experience: Minimum of 5+ years in cloud and data engineering at an enterprise level.

Selling Points:
Opportunity to lead a talented team in a significant modernization project.
Work with cutting-edge AWS technologies and data engineering tools.
Collaborate closely with stakeholders and leadership to drive project success.

Eight Eleven group offers Health, Dental and Vision benefits, weekly pay, holiday paid time off and sick leave. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Types: Full-time, Contract

Pay: $70.00 - $80.00 per hour

Benefits:
Dental insurance
Health insurance
Vision insurance
Shift:
Day shift

Ability to Commute:
Greenwood Village, CO 80111 (Required)

Ability to Relocate:
Greenwood Village, CO 80111: Relocate before starting work (Required)

Work Location: Hybrid remote in Greenwood Village, CO 80111