INACTIVE

Full-Time

Staff Data Architect

Posted on 7/19/2023

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Compensation Overview

$172,400 - $304,900Annually

+ Equity + Flexible Time Off + Paid Parental Leave + Family Planning + Gym Reimbursement + Work Headphones Reimbursement + Employee Assistance Program

Senior, Expert

San Francisco, CA, USA

Required Skills

Microsoft Azure

AWS

Google Cloud Platform

Requirements

Minimum of 8 years experience with enterprise data management and architecture with software development background
Experience building and driving enterprise level data architecture across sophisticated platforms in the cloud - Azure, AWS or GCP
Good to have: Experience with Databricks Platform
Experience working directly with stakeholders on a variety of different requirements with different levels of technical understanding
Understanding of AI/ML platforms and data requirements to facilitate development of AI/ML models
MS in Computer Science, Engineering, or related fields

Responsibilities

Be a thought leader in defining Databricks strategy and roadmap for internal lakehouse architecture
Have a full stack view of opportunities across data sourcing, scalable workflows, data platform, automation frameworks, and visualization design
Evaluate new data technologies and tools
Establish and maintain data standards and policies
Define the vision and strategy of data products for business use-cases
Build empathy for customers and deliver data solutions with measurable impact on the business
Create and implement blueprints for data management processes and procedures
Work with product managers to understand business requirements and constraints
Convert data models into actionable execution plans
Build strong relationships with internal team and business partners

GAQ224R111

Staff Data Architect

At Databricks Information Technology, we are a product led organization transforming the way data is sourced, designed and used to help us scale seamlessly in face of incredible growth. We are looking for a Staff Data Architect to be a thought leader in how to design, implement, manage and scale our internal lakehouse architecture using Databricks own product set for all internal use-cases. You will join a growing Data Analytics, Engineering & Integration team that supports the data needs for internal stakeholders, across all business functions. You will report to the Sr Director of Data Analytics, Engineering and Integrations and work closely with our leadership and business partners.

The impact you will have:

Be a thought leader:

Work with executives and fellow architects to define Databricks strategy and roadmap to build the best lakehouse architecture for our internal use-cases
Have a full stack view of opportunities across data sourcing, scalable workflows, data platform, automation frameworks and visualization design
Help evaluate new data technologies and tools
Establish and maintain data standards to policies to drive consistency and standardization for all data assets
Define the vision and strategy of data products that will be used for business use-cases

Solve business problems:

Build empathy for our customers and deliver data solutions that have measurable impact on the business
Build data models that are flexible and extensible to account for the future needs of our high growth business
Create and implement blueprints for data management processes and procedures, across the company to support business objectives

Drive results collaboratively:

Work with product managers to deeply understand business requirements and constraints
Work with technical leads to convert data models into actionable execution plans, to drive execution for key initiatives
Build strong relationships with our internal team and business partners

What we look for:

Minimum of 8 years experience with enterprise data management and architecture with software development background
Experience building and driving enterprise level data architecture across sophisticated platforms in the cloud - Azure, AWS or GCP
Good to have: Experience with Databricks Platform
Experience working directly with stakeholders on a variety of different requirements with different levels of technical understanding
Understanding of AI/ML platforms and data requirements to facilitate development of AI/ML models
With the ability to operate at a different levels of technical depth to match the audience
MS in Computer Science, Engineering, or related fields

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$172,400—$304,900 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

View

Website

View Company Profile

Databricks offers a Lakehouse Platform that unifies data, analytics, and AI, utilizing Delta Lake, Databricks SQL, and collaborative machine learning solutions to streamline data management and accelerate the machine learning lifecycle.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights

Headcount

6 month growth

↑ 10%

1 year growth

↑ 35%

2 year growth

↑ 114%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE