About Ethos

Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes!

Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!

About the role

We are looking for a hands-on Senior Engineering Manager to lead our Data Engineering Team in India. In this role, you will lead a team of data engineers and analyst engineers to help stakeholders access high-quality data sets, enabling better business decisions and innovation at Ethos.

You will be responsible to build, manage and govern our data infrastructure and datasets.

Duties and Responsibilities:

  • Work with pod leads to set the vision of the team and enable the team to execute on the KRs.
  • Enable success and remove day to day blockers for the team.
  • Provide meaningful feedback to your teammates to enable their work and growth.
  • Constantly adjust the process of the team to maximize productivity.
  • Assess risk and proactively communicate it with a plan.
  • Champions process (Agile, TDD, etc). Responsible for the delivery and timeline for the entire pod and their team members.
  • Hands-on leader. Write design reviews, architecture and help mentor team on their design reviews.
  • Responsible for building, managing and governing our data infrastructure and datasets
  • Lead a team of data engineers and analyst engineers to help stakeholders access high-quality data sets
  • Identifies risks before starting major projects. Help teammates

Requirements

  • A minimum of 10 years of software or data engineering experience and a minimum of 5 years of engineering management experience.
  • Data engineering management experience in the current role.
  • Bachelor’s or master’s degree in Computer Science or equivalent discipline.
  • Excellent programming skills with expertise in data processing using Python and SQL.
  • Expertise in data modeling. Working knowledge of data vault, star schema, and equivalent data models.
  • Experience building agile data workflows using Modern Data Stack or experience with traditional stack and a deep understanding of modern data engineering trends.
  • Experience building and developing cross-functional teams of data analysts, software engineers, and data analyst engineers.
  • Ability to collaborate with US-based stakeholders.
  • Experience with AWS and K8S.

Good to have

  • Entrepreneurial or startup experience.
  • Experience managing contracts, evaluating SaaS contracts, and making build vs. buy decisions.
  • Experience with Snowflake, Fivetran, Segment, DBT, and Mode.
  • Experience leading other leaders.

#LI-Hybrid

#LI-JS4

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

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