Finance Data Architect

Siemens AG
Alpharetta, GA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$102,459.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Analysis of Variance (ANOVA) Cloud Computing Information Systems Data Architecture Information Engineering Data Governance Data Infrastructure Data Integrity Data Presentation
+20 more
Data Structures Data Warehousing Relational Databases Python (Programming Language) Powerpivot Raw Data Power BI Cloud Services Microsoft Copilot Standard Sql SAP (Applications) SAP FI/CO SAP NetWeaver Data Management Data Streaming Snowflake Powerquery Data Layers Data Analytics Tools for Reporting Data Pipelines

Job description

  • Build & Maintain: Design data models and datasets to support high-fidelity financial reporting and analysis.
  • Visualize: Develop scalable Power BI dashboards and semantic models for business-wide use.
  • Transform: Use Power Query and related tools to structure raw data into actionable insights.
  • Automate: Design repeatable reporting workflows and identify automation opportunities using Power Platform and AI-enabled tools.
  • Standardize: Improve data structures across Actuals, Forecast, and Planning datasets to ensure a ā€œSingle Source of Truth.ā€

Finance Analysis & Reporting (~20%)

  • FP&A Support: Provide variance analysis and forecasting inputs to the controlling teams.
  • Targeted Analysis: Perform deep-dive data analysis to identify business trends, risks, and opportunities.
  • Translate: Turn complex business questions into clear, data-driven narratives.

Strategic Project Support & Integration (~10%)

  • R&D / PLM Controlling: Assist in financial tracking and cost transparency for product development initiatives and resource allocation.
  • Ecosystem Integration: Work with SAP data (FI/CO, COPA) and support the integration of data sources into platforms like Snowflake.
  • Architecture Improvement: Assist in improving data pipelines and overall regional data architecture., * Engineer the Finance Data Stack: A majority focus on building scalable data infrastructure, moving beyond traditional static reporting.
  • Architect the ā€˜Single Source of Truth’: Lead the effort to shape and standardize datasets across the entire business lifecycle.
  • Master the Modern Data Stack: Work at the cutting edge of finance technology, integrating enterprise ERP (SAP) with cloud-based analytics (Snowflake & Power BI).
  • Be the Architect, Not Just the Consumer: This is a ā€œbuilderā€ role designed to develop a next-gen skillset at the intersection of Finance, Data Engineering, and Strategic Controlling.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here (https://www.siemens.com/global/en/company.html) .

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

Requirements

We are looking for a Finance Data Architect with a strong foundation in finance and a passion for data, analytics, and automation. This role is designed for a hands-on builder who enjoys creating scalable tools, data models, and reporting solutions that improve how finance operates., * Analytical Rigor & Curiosity: You don’t just ā€œrunā€ reports; you interrogate the data. You have a natural drive to understand the ā€œwhyā€ behind the numbers and the ā€œhowā€ behind the data flow.

  • Self-Directed Ownership: As a ā€œbuilderā€ in a remote environment, you must be a high-agency individual who can identify a problem, design a solution, and execute it with minimal supervision.
  • Data Storytelling & Influence: The ability to translate complex data models into clear, actionable business narratives.
  • Commitment to Data Integrity: You are the guardian of the ā€œSingle Source of Truth.ā€ You have an uncompromising eye for detail and understand that a dashboard is only as good as the governance behind it.
  • Resilience & Stakeholder Partnership: You possess the ā€œstrong resolveā€ necessary to partner with high-performing, autonomous teams. You can hold the line on data standards and financial discipline while remaining a collaborative business partner.
  • Continuous Improvement Mindset: You are never satisfied with ā€œhow we’ve always done it.ā€ You are constantly looking for ways to automate, simplify, and scale our financial operations.

Required Education & Skills

  • Bachelor’s degree in a quantitative field (Finance, Accounting, Data Analytics, Information Systems, or Engineering). We value candidates who can bridge the gap between financial logic and data architecture.

Must have 8plus years of the following:

  • The Architect’s Toolkit: Expert-level Power BI (DAX) and Power Query (M).
  • Data Modeling: Proven experience building relational data models and semantic layers (Star Schemas).
  • SAP Core: Strong working knowledge of SAP FI/CO and COPA modules.
  • Advanced Analytics & Modeling (Excel): Expert functionality (Dynamic Arrays, Power Pivot, and complex logic).
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization.

Preferred Qualifications

  • Modern Data Stack: Exposure to Snowflake or similar cloud data platforms.
  • Code-Savvy: Basic SQL for data querying; Python is a significant plus.
  • AI-Forward: Familiarity with AI-enabled tools (e.g., Microsoft Copilot) to drive development efficiency.
  • Domain Expertise: Experience in R&D, PLM, or project-based financial controlling.

About the company

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds, thereby improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?, At Siemens Grid Software, we accelerate and secure a successful Energy Transition

Today the energy world is changing to become carbon neutral. Distributed Energy Resources are growing rapidly and decentralized power generation is transforming how energy systems operate. Utility companies are rethinking their IT/OT landscapes and require agile, data-driven solutions to operate efficiently and securely.

At Siemens Grid Software, we are at the forefront of this transformation, enabling our customers through advanced digital solutions, analytics, and software platforms.

Find out more about the Digital world of Siemens Grid Software here:

https://new.siemens.com/global/en/products/energy/topics/smart-grid.html

Our Culture

At Siemens Grid Software, we foster an ownership culture where employees take responsibility, collaborate openly, and continuously improve. We value innovation, transparency, and data-driven decision-making. Our teams operate globally and work closely across functions to drive meaningful business outcomes.

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