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Data Modernization Jobs in California (NOW HIRING)

Google Data Specialist

Sacramento, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Google Data Specialist

San Diego, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Google Data Specialist

San Francisco, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Google Data Specialist

Walnut Creek, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Google Data Specialist

Mountain View, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Google Data Specialist

Los Angeles, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Showing results 41-60

Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What job categories do people searching Data Modernization jobs in California look for?

The top searched job categories for Data Modernization jobs in California are:

What cities in California are hiring for Data Modernization jobs?

Cities in California with the most Data Modernization job openings:

Infographic showing various Data Modernization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI & Data Analytics Presales Solution Architect

Armaninollp

San Ramon, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

We are seeking a client-focused Data Analytics, AI & Microsoft Fabric Pre-Sales Architect to join our Artificial Intelligence Solutions practice. This role blends deep expertise in modern data platforms with the ability to shape and sell AI-driven transformation initiatives. You will lead with data and analytics (Microsoft Fabric) and expand conversations into AI strategy, Launchpad workshops, and AI Factory delivery, helping clients move from ideas to scalable execution.

Job Responsibilities

  • Partner with sales teams to shape and advance data and AI opportunities

  • Lead discovery sessions to identify business challenges, data needs, and AI use cases

  • Design and present end-to-end solutions using Microsoft Fabric

  • Translate technical concepts into clear business value and ROI narratives

  • Support proposals, RFPs, and solution scoping

  • Design modern data platforms using:

    • Microsoft Fabric (Lakehouse, Warehouse, Power BI, Data Factory)

    • Scalable, secure, and governed architectures

  • Guide clients through data modernization and migration strategies

  • Define best practices across data modeling, pipelines, and analytics

  • Identify and shape AI use cases tied to business outcomes

  • Position and help sell:

    • AI Launchpad workshops

    • AI Factory delivery model

  • Connect data platform capabilities to AI enablement

  • Lead client discussions, whiteboarding sessions, and solution presentations

  • Build relationships with business and technology stakeholders

  • Communicate the "Art of the Possible" across data and AI

  • Facilitate or support AI Launchpad workshops

  • Contribute to AI strategy and roadmap development

  • Help evolve AI Factory offerings and go-to-market assets

  • Support early-stage delivery and mentor team members

  • Contribute to thought leadership (events, webinars, content)

Requirements

  • Minimum 7 years of experience in data architecture, analytics, or data platform solutions

  • Experience in a client-facing, pre-sales, or consulting role

  • Hands-on experience with at least one of the following:

    • Microsoft Fabric, OR

    • Azure Synapse / Azure Data Factory / Power BI / Databricks

  • Strong understanding of:

    • Data warehousing and dimensional modeling

    • ETL/ELT and modern data architectures (lakehouse concepts)

  • Ability to translate technical solutions into business value

  • Experience leading client discussions, demos, or solution presentations

Preferred Qualifications

  • Direct experience with Microsoft Fabric end-to-end workloads

  • Experience selling or delivering AI-related solutions or initiatives

  • Familiarity with:

    • Generative AI (Copilots, LLMs, embeddings)

    • Predictive analytics or machine learning

  • Experience with AI workshops, ideation sessions, or roadmap development

  • Microsoft certifications (Fabric, Azure Data, AI Engineer)

  • Industry experience (e.g., Manufacturing, Healthcare, Financial Services)

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. For Colorado residents, the compensation range for this position: $133,300 - $181,700. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $146,700 - $199,800. For Northern California residents, the compensation range for this position: $153,300 - $208,900. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

Armanino has a robust offering of benefits, including:

  • Medical, dental, vision

  • Generous PTO plan and paid sick time

  • Flexible work arrangements

  • 401K with Profit Sharing

  • Wellness program

  • Generous parental leave

  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.