FP&A Data Engineer

Job Overview:

The FP&A Data Engineer will play a meaningful role in redefining financial planning and analysis (FP&A) at scale by enabling integration of FP&A datasets into the enterprise data lakehouse and automating data flows and reporting.

This role blends data engineering with finance expertise to enable fast, accurate analytics and strategic decision-making.

Responsibilities:

• Collaborate with FP&A teams to design data models aligned with financial processes and controls
• Build ingestion pipelines using Databricks and AWS Glue to embed FP&A data into the lakehouse
• Maintain medallion architecture (Bronze to Platinum) for refined, trusted reporting datasets
• Automate pipelines for actuals, budgets, forecasts, and variance metrics
• Enable self-serve analytics through well-documented models and transformation logic
• Implement data validation and quality checks to ensure accuracy and compliance
• Apply CI/CD best practices across development environments for reproducibility and scale

Required Skills and Experience:

• FP&A Integration: Experience with financial data, planning cycles, and P&L structures
• Data Engineering: Skilled in PySpark, Databricks notebooks, AWS Glue, and modular pipeline design
• Financial Data Modeling: Proficient in modeling actuals, forecasts, and cost allocations
• Automation & Orchestration: Expertise in automating financial reporting workflows
• Testing & QA: Familiar with unit/integration testing and automated data validation
• Communication: Able to translate technical solutions into business impact

Tech Stack:

• Databricks (Unity Catalog, Delta Lake, medallion architecture)
• AWS Glue, Amazon S3
• CI/CD tools (Git, Terraform)

“Nice To Have” Skills and Experience:

• Experience with ERP systems like SAP or Workday Adaptive Planning

In Return:

• The opportunity to design and embed FP&A data solutions at scale, building a data lakehouse capability from the ground up that will transform how financial insights drive decisions across a global technology leader.
• A culture that thrives on collaboration, curiosity, and innovation — you’ll be part of a diverse, supportive team where people are encouraged to share ideas and grow together.
• The chance to shape the future of FP&A while developing your career across data engineering, analytics, and enterprise systems.
• Hybrid working and a people-first environment that values wellbeing, inclusion, and work–life balance

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.