Sr. Principal Platform Engineer, Data Solutions- (Onsite)
US CA San Diego, United States
Full Time Senior-level / Expert USD 154K - 224K
Neurocrine Biosciences
Who We Are:
At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs.
What We Do:
Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie)
About the Role:
Leverages expertise in Data and Software Engineering, utilizing cloud infrastructure and services to deliver integrated data platforms that optimize for analytics and data utilization.You have extensive background in data systems and are equally comfortable designing and developing high-quality software services. You will be part of a team developing and maintaining innovative data platforms & services for Neurocrine Biosciences with a focus on scalability, reliability, performance, and security.
The role is a unique opportunity to work in a fast-paced, challenging, and innovative environment with a high degree of problem-solving and the chance to create, implement and integrate innovative solutions for our business needs.
Our ideal candidate has deep experience in relevant platforms and applications such as: AWS for cloud, Terraform for pattern-based deployment, Databricks for Data Engineering and ML, dbt or similar for orchestration, SQL for data transformation, Monte Carlo for data quality monitoring, Business Intelligence platforms, GitHub Enterprise for VCS and CI/CD, and Atlassian Jira and Confluence for project-based tracking.
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Your Contributions (include, but are not limited to):
Lead the design, development, and own deliver of high-quality data and software solutions aiming to solve business needs
Collaborate with cross-functional teams, including data and software engineers, data scientists, technical leaders, vendors and business stakeholders to understand platform needs and empathize with user experience – ultimately to design, deliver and maintain data platforms and features
Contribute to uplifting and maintaining high-quality code and practices through peer code reviews, defining and establishing coding standards/guidelines/best practices within the team
Establish and drive improvements to operational excellence – security, reliability, availability, performance, procedures and processes
Collect qualitative feedback and use data-driven approaches to drive decisions and propose technical solutions to navigate ambiguity and change, learn and adapt within a changing landscape
Lead code reviews & documentation as well as take on complex challenges and bug fixes, especially on high-risk/high-value problems
Partner across engineering teams to take on enterprise-level initiatives spanning multiple projects
Transfer your depth of knowledge as Data/Software Engineer and mentor more junior members
Requirements:
Bachelor's Degree in Computer Science, Information Technology or a related field and 10+years in Data/Software Engineering role with relevant exposure to data ecosystems
Master's Degree in Computer Science, Information Technology or a related field.
and 8+ years as noted above
Proven experience designing, building and maintaining data platforms and related infrastructure
Experience with cloud-based platforms (e.g. AWS, Azure, GCP) and related services (e.g. S3, Lambda, Redshift, Athena)
Familiarity with cloud architecture patterns and engineering discipline to produce platforms with quality, performance, scalability, reliability, high availability and operational excellence
Experience building platforms, features, solutions and services from the ground up – from gathering requirements, designing, building, deploying, owning and enabling use by others
Demonstrated expertise in the following technology competencies and how they complement and integrate:
Cloud: AWS
Data Platforms: Databricks, Snowflake
Data Transformation: SQL, Python
Orchestration Frameworks: dbt, SQLMesh, Databricks Workflow & DLT
VCS and CI/CD: GitHub or similar, Terraform
Business Intelligence: Tableau, Power BI or similar
Data Quality: Monte Carlo or similar
Project Tracking and Documentation: Jira, Confluence or similar
Strong understanding of data governance, security and compliance practices, including familiarity with regulatory requirements (e.g. CCPA, GDPR)
Proven ability to measure, justify, prioritize and improve platform and feature use
Excellent communication skills with an ability to collaborate effectively and enable platform and feature adoption with cross-functional teams
#LI-TM1
Neurocrine Biosciences is an EEO/AA/Disability/Vets employer.
We are committed to building a diverse, equitable, and inclusive workplace, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly what we have outlined in the job description.
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The annual base salary we reasonably expect to pay is $154,900.00-$224,400.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 30% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.Tags: Architecture Athena AWS Azure Business Intelligence CI/CD Computer Science Confluence Databricks Data governance Data quality dbt Engineering GCP GitHub Jira Lambda Machine Learning Monte Carlo Power BI Python Redshift Security Snowflake SQL Tableau Terraform
Perks/benefits: Career development Equity / stock options Health care Medical leave Parental leave Salary bonus
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