Top 6 Big data architect Jobs in Long Beach, Ca

Resident Solutions Architect - Communications, Media, Entertainment & Games
Databricks —Los Angeles, CA
- $180,656 - $248,360 a year
- Azure
- 6 years
- Writing skills
5d
Sr. Solutions Architect, Media, Entertainment, Games & Sports (MEGS)
Amazon Web Services, Inc. —Irvine, CA
- $153,600 - $207,800 a year
- Full-time
- 3 years
- AWS
- Fair chance
- AD&D insurance
- Health insurance
6d
AI Insurance Solutions Architect, Sr. Manager
PRICE WATERHOUSE COOPERS —Los Angeles, CA
- $124,000 - $280,000 a year
- Master's degree
- Databases
- 8 years
- Paid holidays
- Health insurance
Azure Databricks Senior Architect
Tiger Analytics Inc. —Los Angeles, CA
- Full-time
- Azure
- Management
- 11+ years
Quick Apply
Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science
Amazon.com Services LLC —Santa Monica, CA
- $168,100 - $227,400 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- AD&D insurance
- Health insurance
1d

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Enterprise Solution Architect
Farmers and Merchants Bank of Long Beach —Seal Beach, CA
Bachelor’s Degree in Engineering or a related technical field required. Ensure solutions align with enterprise architecture principles, target‑state roadmaps,…
$129,584 - $240,656 a year
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IT Solutions Architect
SCAN Group —Long Beach, CA
Bachelor's Degree or equivalent experience in Computer Science, Engineering, or a related field. Support the design and implementation of microservices-based…
$106,200 - $182,983 a year
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TRA'BIAN ENTERPRISES —Columbus, OH
5 years of experience in data architecture, database design, and data modeling Required 5 Years. 5 years experience with ETL tools, API’s and integration…
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AI Insurance Solutions Architect, Sr. Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
Experience working with technical leaders such as CIO, CTO, Head of AI, in framing strategic technical decisions around AI platforming.
$124,000 - $280,000 a year

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Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks -
Los Angeles, CA

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Job Details

$180,656 - $248,360 a year
5 days ago

Qualifications

Post-sales product instruction
Stakeholder engagement
Databricks
Big data projects
Azure
6 years
Continuous deployment
Managing projects in an engineering role
Technical documentation
Software coding
Software deployment
Writing skills
Spark
User training (technical support)
Data Architecture Design (Architecture design skills)
Production systems
AWS
Solution architecture design
Model deployment
Distributed systems
Scala
Customer engagement
Conflict management
Technical customer support solution
AI implementation
Managing projects
System deployment
Cloud Architecture Design (Architecture design skills)
Distributed computing
Senior level

Full Job Description

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Work with engagement managers to scope variety of professional services work with input from the customer
Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
Provide an escalated level of support for customer operational issues.
You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

6+ years experience in data engineering, data platforms & analytics
Comfortable writing code in either Python or Scala
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery - managing scope and timelines.
Documentation and white-boarding skills.
Experience working with clients and managing conflicts.
Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
Travel to customers 20% of the time
Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.

Zone 1 Pay Range

$180,656—$248,360 USD

Zone 2 Pay Range

$180,656—$248,360 USD

Zone 3 Pay Range

$180,656—$248,360 USD

Zone 4 Pay Range

$180,656—$248,360 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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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.

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Refine Your Search

big data architect jobs in long beach, ca

Resident Solutions Architect - Communications, Media, Entertainment & Games

Sr. Solutions Architect, Media, Entertainment, Games & Sports (MEGS)

AI Insurance Solutions Architect, Sr. Manager

Azure Databricks Senior Architect

Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science

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