Director of Data Engineering - Remote

Company: Jobot
Location: Austin
Posted on: August 6, 2022

Job Description:

Remote Director of Data Engineer for a company recognized as Fast Growth & Best Workplace for Innovators!

This Jobot Job is hosted by Ian Jack

Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

Salary $150,000 - $190,000 per year

A Bit About Us

Founded in 2015, we are a rapidly growing global data science company that uses artificial intelligence, design, data engineering, and modern software development methods to empower organizations to make data-driven decisions that positively impact the world. Our innovative solutions are insightful, intuitive, inspiring, and intellectually honest. With teams in Albuquerque, NM, Washington, DC, and distributed throughout the United States, we are an Inc. 5000 fastest-growing company two years in a row and a Fast Company Best Workplace for Innovators

We help clients achieve programmatic goals, improve efficiencies, reduce costs, and maximize productivity using MOTHR, our AI engine, that allows users to seamlessly integrate data and reveal insights at hyper speed. We navigate complex data issues in the fields of healthcare, defense, safety, urban planning, energy, cyber, land use, climate, disaster preparedness, disaster recovery, space, and social equity.



Why join us?


We are a dynamic, growing startup with 60+ employees doing great things, and we're looking for the right people to help move us forward. Our nine core values empower a culture of integrity, learning, taking risks, making a difference, constantly improving, and helping our team achieve a healthy work-life balance with flexible schedules and remote work options. As a testament to our exceptional culture, we were named a Fast Company Best Workplace for Innovators.

We believe a variety of viewpoints, experiences, and ideas are at the core of true innovation. We are committed to attracting a diverse pool of candidates looking to join a team that places the highest value on collaboration, creativity, engagement, and honest exchange. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Full competitive benefits package, including Health, Dental, Vision, 401K, Life & disability insurance, Employee Assistance Program, Parental Leave, Employee Ownership program, and generous PTO.

Job Details

We're looking for an innovative and experienced Director of Data Engineering to lead our Data Engineering department to stand up production data architectures to deliver novel, decision-ready information for high-profile clients. As a member of the leadership team, the Director participates in leadership initiatives including company philosophy, strategy & policy ensuring cross-team cohesion and development and execution of corporate goals.

Responsibilities

• A leader that has the skills and interests to also work hands on in projects along side of those they lead.
• Grows and mentors a team of Data Engineers, Architects, and Database Administrators to work with business stakeholders and ensure their needs are being met.
• Supports Data Engineering team in the design, development and deployment of production-quality analytics databases, lakes, and warehouses.
• Works collaboratively with account leaders, developers, data scientists, and designers to create a common technical vision.
• Support marketing, proposal development and pricing in direct collaboration with clients and our team to drive value for our customers
• Acts as a liaison between Engineers and the rest of the company, advising internal stakeholders on market trends, team capacity, and opportunities for interdisciplinary integration.
• Implement and enforce standards and procedures to ensure data extraction, processing, transformation, and storage are all being executed efficiently and at a high level of quality.
• Actively engages in writing code, but also part of sprint planning, evaluate solutions such as managed cloud services, and verify that systems are stood up and operationally maintained.
  Qualifications
  
  • Bachelor's degree + 10years' experience or equivalent with 4 years' experience in a supervisory role.
  • Demonstrated experience staffing, managing, and mentoring Data Engineering teams
  • A proven track record of developing custom-built data analytics platforms with the above experience in supporting large scale programs
  • Proven track record working with senior leaders, technical and functional teams.
  • Excellent leadership, communication and experience interfacing with business teams.
  • Capable of taking direction from senior leadership and translating into concrete next steps and actions.
  • Well-versed in different variants of the full software development lifecycle
  • Experienced in requirements gathering, software construction, configuration management, software testing fundamentals, and maintenance.
  • Experience working in Agile environments
  • Experience in developing and analyzing data models
  • Demonstrated experience in and knowledge of data architecture, data modeling, data profiling, data quality. data governance, ETL, and system orchestration
  • Keen ability to identify and avoid pitfalls associated with Data Engineering
  • Expert in SQL and/or SQL-based languages and experience designing and implementing SQL and/or OLAP databases
    Nice to Have
    
    • Experience using NoSQL databases in production including document, key/value, time series, graph, Hadoop-based and other "big data" systems.
    • Knowledge of system analysis and enterprise architecture including a variety of transactional and analytical systems and programming languages.
    • Experience with IaaS, PaaS and SaaS deployment models for cloud database and data warehouse systems.
    • Experience in sales and customer engineering, client-facing demos, RFI and RFP responses and proposals.
      Interested in hearing more? Easy Apply now by clicking the "Apply" button.
      

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