Data Engineer Lead

Cirrus Aircraft•Alcoa, TN

34d

About The Position

The Lead Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This role requires a high level of self-direction and be comfortable supporting the data needs of multiple teams, systems and products. The Lead Data Engineer will collaborate with the other members of the Enterprise Data & Analytics team to define our company's data architecture to support our next generation of products and data initiatives. This position will be part of the Information Technology team.

Requirements

Bachelor's degree in Computer Science or related field, or equivalent combination of education and experience.
7+ years' experience supporting data transformation, data structures, metadata, dependency and workload management.
Excellent knowledge and understanding of established/emerging data management technologies including and not limited to Spark, Databricks, Parquet and Delta Lake.
Experience designing and implementing relational and NoSQL databases, unstructured data sets, and data streams.
Knowledge and execution of SDLC is required.
Knowledge and execution of Agile/Scrum is required.
Experience with or in manufacturing is preferred.
Deep understanding of end-to-end pipeline design and implementation
Demonstrated ability to research new technologies and define their application to business needs
Experience mentoring and coaching others within own team and influencing business partners

Nice To Haves

Experience with or in manufacturing is preferred.

Responsibilities

Work with business stakeholders, data scientists, and data analysts to design and implement data engineering solutions.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Lead the design and implementation of infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources leveraging various technologies part of the Azure platform.
Evaluate and recommend technology and frameworks for building cross product data assets to optimize for flexibility, long-term viability, and time to market.
Guide, mentor, influence, and adopt a cloud-first modern data architecture, and consistently adopt the associated standards and practices.
Anticipate the need for data governance and work with designated teams to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across the data pipeline.
Leads root cause analysis in response to detected problems/anomalies; design and implement corrective actions to prevent further issues.
Other projects or duties as assigned.
Regular, reliable, and predictable attendance

Benefits

401(k) Plan: Dollar-for-dollar match up to 5% after 90 days, with 100% vesting.
Employer-Paid Coverages: Group term life, short- and long-term disability insurance.
Comprehensive Health Coverage: Medical, vision, dental, with additional dependent coverage options.
Free Health Tracking: With rewards for meeting health goals.
Generous PTO: 120 + hours accrued within the first year.
Employee Referral Bonus: For referring talented candidates.
Career Development: Tuition reimbursement and professional growth opportunities.
Exclusive Discounts: Access to partner and marketplace discounts.
Community & Engagement: Company and employee clubs at various locations.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume