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Principal Engineer - Data

hims & hers

Full-time
USA
$210k-$250k per year
engineer
java
python
product management
sql
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

  • Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects

  • Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs

  • Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI

  • Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs

  • Implement and maintain data governance practices to ensure compliance, data security, and privacy.

  • Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases

  • Plan and oversee large-scale and complex technical migrations to new data systems and platforms

  • Drive continuous data transformation to minimize technical debt

  • Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

  • Define and lead technology proof of concepts to ensure feasibility of new data technology solutions

  • Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence

  • Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing

  • Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices

  • Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

  • Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership

  • Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.

  • Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,

  • Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper

  • Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)

  • Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives

  • Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data

  • Analytical and problem-solving skills to address data-related challenges and find optimal solutions

  • Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

  • Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles

  • Unlimited PTO, company holidays, and quarterly mental health days

  • Comprehensive health benefits including medical, dental & vision, and parental leave

  • Employee Stock Purchase Program (ESPP)

  • Employee discounts on hims & hers & Apostrophe online products

  • 401k benefits with employer matching contribution

  • Offsite team retreats

 

#LI-Remote

 

About the job

Full-time
USA
$210k-$250k per year
Posted 8 months ago
engineer
java
python
product management
sql
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Principal Engineer - Data

hims & hers
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

  • Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects

  • Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs

  • Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI

  • Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs

  • Implement and maintain data governance practices to ensure compliance, data security, and privacy.

  • Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases

  • Plan and oversee large-scale and complex technical migrations to new data systems and platforms

  • Drive continuous data transformation to minimize technical debt

  • Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

  • Define and lead technology proof of concepts to ensure feasibility of new data technology solutions

  • Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence

  • Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing

  • Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices

  • Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

  • Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership

  • Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.

  • Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,

  • Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper

  • Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)

  • Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives

  • Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data

  • Analytical and problem-solving skills to address data-related challenges and find optimal solutions

  • Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

  • Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles

  • Unlimited PTO, company holidays, and quarterly mental health days

  • Comprehensive health benefits including medical, dental & vision, and parental leave

  • Employee Stock Purchase Program (ESPP)

  • Employee discounts on hims & hers & Apostrophe online products

  • 401k benefits with employer matching contribution

  • Offsite team retreats

 

#LI-Remote

 

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