Senior Data & AI Platform Engineer at Armanino LLP

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. This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery infrastructure (e.g., Power BI, Tableau). You set the standards for platform reliability, CI/CD, environment design, security, and governance, and you carry those standards through to production. You work independently, make architecture calls, and own the outcome. Job Responsibilities Platform Architecture & Operations Own the design and day-to-day operation of cloud data platforms: workspace and project architecture, access models, capacity planning, configuration standards, and troubleshooting. Define and enforce platform standards: naming and tagging conventions, access patterns, cost management, and environment separation. Drive platform maturity: identify structural gaps, propose the fix, and implement it without waiting to be told. DevOps & Deployment Design, build, and own CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), including branching strategy, promotion, approvals, and rollback. Establish reusable templates, checklists, and release documentation that the rest of the team deploys against. Set the deployment bar and hold the team to it through review and automation. Data & Analytics Platform Leadership Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a BI tool (Power BI or Tableau), and provide working depth across the others. Lead onboarding and enablement for engineering and client teams: patterns, guardrails, and reusable solutions rather than one-off answers. Own performance: diagnose and resolve query, job, refresh, and capacity issues, and design the platform so they stop recurring. Reliability, Monitoring & Incident Response Own platform reliability. Design monitoring and alerting, set SLOs where they matter, and reduce operational toil. Build and maintain the runbook library (standard operating procedures, known issues, escalation paths) and keep it current. Lead incident response: drive triage, own the resolution, run the post-incident review, and land the preventative fix. Security & Governance Define and enforce least-privilege access and secure secret handling (e.g., Key Vault, secret scopes) across environments. Own data governance in practice: PII handling, row- and column-level security, and environment separation, aligned to firm and client policy. Review the work of other engineers for security and governance before it reaches clients. Requirements Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud operations, with a track record of owning platforms in production. Minimum 2 years of representative accounting experience, whether implementing accounting systems or working in direct accounting roles. Deep, production-grade command of a cloud data platform: Snowflake (preferred), Microsoft Fabric, or Databricks, with working fluency across the others. Strong command of a BI platform: Power BI or Tableau, including data modeling, security, and refresh architecture. CI/CD ownership: Git, branching and PR discipline, and building pipelines, not just running them. Solid scripting in Python or PowerShell. Advanced troubleshooting: you break down ambiguous problems, gather evidence, decide, and communicate clearly to technical and non-technical audiences. Strong SQL and performance skills: indexing and partitioning strategy, query plans, and capacity tuning. Working command of cloud fundamentals: identity and access, resource organization, logging, and monitoring. Clear technical writing: runbooks, standards, and architecture documentation others can follow. Relevant certifications (Azure, Snowflake, Databricks, etc.) are a plus. Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration, or MLOps) is a strong plus. 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: $112,800 - $153,700. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $124,100 - $169,100. For Northern California residents, the compensation range for this position: $129,800 - $176,800. 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: armanino.com We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.

Requirements

Must-haves

At Armanino, you determine your career path. This means it s possible to pursue challenges you are passionate about, in industries you care about.
Platform Architecture & Operations
Own the design and day-to-day operation of cloud data platforms: workspace and project architecture, access models, capacity planning, configuration standards, and troubleshooting.
Define and enforce platform standards: naming and tagging conventions, access patterns, cost management, and environment separation.
Drive platform maturity: identify structural gaps, propose the fix, and implement it without waiting to be told.
DevOps & Deployment
Design, build, and own CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), including branching strategy, promotion, approvals, and rollback.
Establish reusable templates, checklists, and release documentation that the rest of the team deploys against.
Set the deployment bar and hold the team to it through review and automation.
Data & Analytics Platform Leadership
Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a BI tool (Power BI or Tableau), and provide working depth across the others.
Lead onboarding and enablement for engineering and client teams: patterns, guardrails, and reusable solutions rather than one-off answers.
Own performance: diagnose and resolve query, job, refresh, and capacity issues, and design the platform so they stop recurring.
Reliability, Monitoring & Incident Response
Own platform reliability. Design monitoring and alerting, set SLOs where they matter, and reduce operational toil.
Build and maintain the runbook library (standard operating procedures, known issues, escalation paths) and keep it current.
Lead incident response: drive triage, own the resolution, run the post-incident review, and land the preventative fix.
Security & Governance
Define and enforce least-privilege access and secure secret handling (e.g., Key Vault, secret scopes) across environments.
Own data governance in practice: PII handling, row- and column-level security, and environment separation, aligned to firm and client policy.
Review the work of other engineers for security and governance before it reaches clients.
Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud operations, with a track record of owning platforms in production.

Nice-to-haves

Deep, production-grade command of a cloud data platform: Snowflake (preferred), Microsoft Fabric, or Databricks, with working fluency across the others.
Relevant certifications (Azure, Snowflake, Databricks, etc.) are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdrestpythonsqlazureaiml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Parental Leave

Wellness