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Director of Data Engineering and Analytics - Emerging Transportation Platforms - Remote

Job Description

>>THIS IS A REMOTE POSITION<<

Who We Are | Our Culture:

Siemens Smart Infrastructure connects energy systems and buildings to adapt and evolve the way we live and work through high-profile construction and infrastructure projects such as airports, pharmaceutical plants, data centers, stadiums, universities, military bases, and hospitals.

We live and foster an ownership culture, in which every employee takes personal responsibility for our company's success. We trust and empower our leaders to act as owners, direct their teams, and innovate to succeed. We communicate openly and honestly to learn from our failures and celebrate our successes. We recognize individual and team achievements frequently. We invest in our team members, offering a wide variety of internal and external development opportunities.


About Charging-As-A-Service (CaaS)

CAAS is redefining the EV charging market for private and public fleets, including autonomous driving fleets, transit bus agencies, and municipal and private fleets. We are building the next level of charging as a service, taking complete ownership and control of the charging infrastructure, the scheduling of the vehicles, the cloud platform, and the utility meter – in order to provide the highest availability and resilience in the market. In this way, we will accelerate the adoption of electric-powered fleets by optimizing the delivery of power and making refueling seamless and efficient. 

In a high-powered application like fast vehicle charging, the difference between controlled, optimally balanced vs unrestrained EV charging could be 3x in cost from your local utility. Even more importantly, EV fleets, in particular when part of critical and close to real-time business processes (for example in autonomous fleets) need to be scheduled for charging in specific time intervals. By taking control of the utility meter, and optimizing EV charge rate and vehicle process flow, CAAS provides the lowest cost of electric fueling possible in each depot location or in-route stops. 

Our approach is to offer charging as a service that is unique in the industry. We offer our customers a per mile driven or per kWh usage rate. CAAS provides the bulk of the upfront capital expenditures associated with the charging platform. 


What you will do for Siemens Smart Infrastructure:

In the role of Director of Data Engineering and Analytics, we are looking for candidates who want to be a part of something innovative and industry-leading in the EV mobility space by owning and leading the engineering solution and delivery of Data Analytics product that can scale, perform and keep up with the ever-increasing business demand and transaction volume. This individual will work closely with product management and the cross functional engineering teams in executing the product vision to reality. 


Responsibilities:

  • Lead a team of engineers to develop and deploy a future proof cloud-native enterprise data and analytics platform built on open standards
  • Build a high-performing data engineering organization, and structure the org & processes for scale including End to End solution and delivery process
  • Build and maintain cross-functional relationships with Product Management, Engineering, Infrastructure, and Business leadership
  • Own and lead the development of new standards, best practices, and frameworks that ensure robust data pipeline creation & maintenance (e.g. dev ops, CI/CD, peer code reviews, knowledge sharing, support model, etc.)
  • Provide thought leadership and hands-on data architecture expertise; consult with business & Enterprise architects to build frameworks that facilitate the transition to a data-driven culture


Qualifications:

  • 10+ years of SaaS engineering experience and having directly led teams with a minimum of 5 years of management experience
  • Demonstrates knowledge of essential cloud data platform components: cloud-native databases, ETL/ELT, Data visualization & discovery, Data governance (catalog, lineage, quality)
  • Technical knowledge of Node.JS, Angular.JS, REST API, Python or Golang, or similar, AWS, Distributed Caching, Queuing technologies
  • Proven ability to scale and foster a high-performing team
  • Ability to influence without authority and collaborate effectively across the organization
  • Strong analytical rigor, innovative mindset, obsession with product excellence, and an ability to move fast in a high-performing environment
  • Demonstrated success in leading the development of products and customer-facing features from inception to delivery
  • Excellent problem-solving, project management, and communication skills
  • Technical fluency; comfortable understanding and discussing technology concepts, experience evaluating tradeoffs and new opportunities with technical team members
  • Strong analytical and experimental design skills
  • Bachelor’s Degree in Computer Science or equivalent
  • Where permitted by applicable law, Siemens may require employees to be fully vaccinated against COVID-19 based on job requirements, and in accordance with accommodation based on legally protected reasons


Preferred Qualifications:

  • EV Charging domain experience.


Benefits:

  • Competitive salary based on qualifications
  • Health, dental, and vision plans
  • Matching 401(k) up to 6%
  • Flexible vacation plan
  • Paid parental leave

#LI-KS1


Organization: Smart Infrastructure

Company: Siemens Industry, Inc.

Experience Level: Experienced Professional

Full / Part time: Full-time



Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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