Alteryx Developer Jobs in Arizona (NOW HIRING)

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

• Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 

• Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 

• Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 

• Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

• Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 

• Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 

• Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 

• Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

• Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 

• Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 

• Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

• Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 

• Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 

• 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 

• Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 

• Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 

• Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 

• Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 

• Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 

• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred

• Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 

• Knowledge of ServiceNow integration capabilities and workflow data flows. 

• Experience in a managed services or Finance Operate context. 

• Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 

• Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

• Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 

• Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 

• Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 

• Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

• Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 

• Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 

• Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 

• Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

• Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 

• Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 

• Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

• Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 

• Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 

• 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 

• Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 

• Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 

• Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 

• Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 

• Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 

• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred

• Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 

• Knowledge of ServiceNow integration capabilities and workflow data flows. 

• Experience in a managed services or Finance Operate context. 

• Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 

• Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.