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.
- Strong hands-on experience with Databricks, Snowflake, Python, SQL, and PySpark
- Experience designing and implementing Lakehouse architectures and cloud-native data platforms
- Expertise in ETL/ELT frameworks, data modeling, and data warehousing concepts
- Hands-on experience with data migration & modernization across Databricks, Snowflake, similar platforms
- Experience with CI/CD, DevOps practices, and orchestration tools
- Exposure to integrating AI/GenAI capabilities into data pipelines and workflows, including intelligent data extraction, enrichment, classification, or automated quality checks
- Understanding of data governance, security, and performance optimization
How you will contribute
As a member of the A&M Finance Transformation Data Engineer team, you will:
Design and deliver scalable, production-ready data solutions supporting Finance Transformation initiatives across Financial Reporting, Financial Close, Cash Forecasting, FP&A, and O2C
Build & 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 & effectively manage multiple stakeholders across business & 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 & forecasting processes & management reporting
- Experience with data migration, ETL/ELT development, and modern Lakehouse architectures
- Strong analytical & problem-solving skills with 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. The possibilities are endless for high-performing and passionate professionals.
At Alvarez & Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing. For those ready to roll up their sleeves, lead with integrity, and be difference makers, this is where it starts.
It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here.
Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
