Senior Associate, Finance Transformation Data Engineer

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results‑oriented professionals in over 40 countries. We take a hands‑on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

We are seeking a Senior Associate with 4–6 years of experience in modern data platforms and Finance Transformation. This role combines deep technical expertise with business process knowledge to design and implement scalable, production‑grade solutions supporting Finance functions such as Financial Reporting, Financial Close, Cash Forecasting, FP&A, and Order‑to‑Cash (O2C). The ideal candidate will leverage Databricks, Snowflake, Python, and SQL to drive data modernization, analytics, and intelligent automation initiatives.

Key Responsibilities

• Design and deliver scalable, production‑ready data solutions supporting Finance Transformation initiatives across Financial Reporting, Financial Close, Cash Forecasting, FP&A, and O2C.
• Build and optimize data pipelines using Databricks, Snowflake, Python, SQL, and PySpark.
• Execute data migration and modernization programs across cloud data platforms.
• Develop analytical datasets and data models supporting financial statement modeling, forecasting, and management reporting.
• Identify opportunities to embed AI‑driven capabilities into ETL/ELT pipelines and Finance data processes.
• Partner with Finance and business stakeholders to translate process requirements into technical solutions and automation opportunities.
• Ensure data quality, security, scalability, and operational reliability.
• Communicate solution approaches and effectively manage multiple stakeholders across business and technology teams.

Qualifications

• 4–6 years of experience in Data Engineering, Analytics, or Finance Transformation.
• Proven experience delivering enterprise‑scale, production‑grade solutions.
• Strong expertise in Databricks, Snowflake, Python, SQL, and cloud‑based data architectures.
• Experience supporting or transforming Finance processes such as Financial Reporting, Financial Close, FP&A, Cash Forecasting, Treasury, or Order‑to‑Cash.
• Understanding of financial statement, planning, and forecasting processes & management reporting.
• Experience with data migration, ETL/ELT development, and modern Lakehouse architectures.
• Strong analytical and problem‑solving skills with the ability to connect technical solutions to business outcomes.
• Excellent communication and stakeholder management skills, with the ability to influence and collaborate across business and technology teams.

Your Journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance‑development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top‑notch training and on‑the‑job learning opportunities, you can acquire new skills and advance your career. We prioritize your well‑being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.