Job Description :


Client - Clarus Commerce
TEMPORARILY REMOTE WORKPLACE DUE TO COVID-19
Position Overview
We are looking for a Manager of Data Engineering to join our growing team of Enterprise Data. This data engineer will be hands-on developer leading the expansion and optimization of our data architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced big data engineer who understands how to optimize data solutions and has built them from the ground up. The Data Engineering Manager will work with our software developers, data engineers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They should be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The manager of Data Engineering will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. 
Once the Company returns to the office in October, The Data Engineer Manager will have the opportunity to routinely work from home for part of the week. 
Responsibilities of Data Engineering Manager  

·         Participate in the development of solutions when needed. 

·         Work closely with the data architect and application development team in the implementation of new and enhanced data models. 

·         Defines and enforces data architecture standards, procedures, metrics, and policies to ensure consistency and adherence processes and ensure that is operational. 

·         Work with the data engineer to oversee the implementation of efficient and high-quality data pipelines needed to support the business systems. 

·         Act as the senior technical expert related to data-related technologies used. 

·         Translate advanced business analytics problems into technical and data design approaches that yield actionable recommendations, across multiple, diverse domains; Creates, maintains, and communicates current and target state data architecture for data domains within an assigned subject area. 

·         Guides application development teams in the data design of complex solutions and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states. 

·         Experience as a SQL Server Database Programmer or Database Administrator developing database applications using complex SQL queries. 

·         Demonstrated experience with data warehouse development. 


Qualifications of Data Engineering Manager 

·         5+ years of hands-on experience in leading development and supporting large-scale data applications. 

·         3+ years data/software engineering management experience with direct reports 

·         3+ years big data development on AWS or other cloud solution.  

·         Proven experience coaching, mentoring, and developing a team 

·         Experience with data warehousing technologies in the cloud and strategic planning of environments. Experience with Snowflake is a plus. 

·         A deep understanding of all aspects of a data ecosystem and big data technologies 

·         A proven ability to quickly learn and use new technologies. 

·         Excellent agile project management skills: ability to estimate scope, break up problems into deliverable chunks, and the flexibility to pivot when requirements change. 

·         Proficient experience with relational SQL databases, including SQL server and Postgres. 

·         Experience with AWS Cloud based data storage and processing technologies 

·         Ability to independently learn new technologies and data related approaches. 

·         Effective writing and presentation skills. 

·         Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 

·         Ability to research solutions to technical problems 

·         Experience supporting and working with cross-functional teams in a dynamic environment. 

·         Nice to have hands-on experience developing in one or more - Java, R, Python, .Net. 

·         Nice to have experience with reporting /data visualization tools. 

·         Nice to have experience with BI tools: Tableau, QlikView, Domo, etc. 


Benefits and Perks:

·         Flexible hours and work environment. We are 100% remote until October, then offering a very flexible WFH policy 

·         Generous PTO, including closing every Friday at 2pm (all year round) and a paid week off between Christmas and New Year's

·         Health Benefits: Medical, Dental, Vision, Safe Harbor 401K plan

·         FSA plans including child care assistance, bonus-benefits with Aflac

·         Family Leave (maternity and paternity), Disability leave, Life Insurance

·         Wellness Program that includes a compted building gym membership and great prizes


TRAINING, CAREER GROWTH, MENTORSHIP

·         Every employee is given $1,000 every year for training and development purposes

·         We have an ERG dedicated to DEI at Clarus

·         We have an internal mentorship program

·         We have career pathing and trajectories for every employee that includes constant conversation around how employees want their career to grow, and how we can help get them there

·         We host Clarus Classrooms throughout the year in effort to promote internal learning and knowledge


Clarus Commerce is proud to be an Equal Opportunity/Affirmative Action employer. As such we are collecting this data from applicants. Completion of this data is voluntary and will not affect your opportunity for employment or terms or conditions of employment. This data will be used for reporting purposes only and will be kept separate from all other personnel records and only accessed by the Human Resources Department. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by law.

             

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