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Company

hims & hers · 9 hours ago

Principal Data Engineer

San Francisco Bay Area

Full-time

Remote

Lead/Staff

$210K/yr - $250K/yr

12+ years exp

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitectureData EngineeringSQLAWSPythonJavaData GovernanceData SecurityData PrivacyAirflowDatabricksDbtBashPrestoSparkKafkaRabbitMQCassandraAuroraZooKeeperMLAIAnalytical Problem SolvingProject Management

Required

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 environment