The Architect for Corporate Finance Systems will analyze, design, and implement data warehouse and data lake solutions, leveraging AI and ML technologies. Responsibilities include technical development, creating data models, and collaborating with teams for successful delivery of enterprise-wide reporting and business intelligence.
Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
Primary functions and essential responsibilities
- Analyze, design, develop, and implement full cycle data warehouse/data lake solutions, including the integration of LLMs (Large Language Models) /AI/ML (Artificial Intelligence/Machine Learning) technologies.
- Understand and collaborate on the advancement and normalization of data models for data warehouse builds, incorporating AI/ML algorithms to enhance data processing and analytics.
- Design and develop data modeling, data warehouse and reports for the end users and drive the administration of an enterprise wide reporting/business intelligence/analytics.
- Perform technical development and software code-based delivery of business rules, scripts, data pipelines, data visualization/reporting analytics.
- Prepare all necessary documentation of technical solutions and other related deliverables.
- Assist end users in application/system issues.
- Available to work in US PST working hours and India working hours to be able to interface with US teams.
- Independently lead solution delivery of end-to-end data projects.
- Liaison to the application architecture, business analysts and PMO teams to ensure guidelines and process across all technology initiatives are aligned.
qualifications
Education:
- Bachelor’s degree in Engineering, Computing, Finance, Information Systems or related fields
Experience Required:
- 12-15 years of relevant technical experience developing/implementing Data Lake/Data Warehouse technologies.
- Experience in building data solutions with ERP/financial accounting systems such as Oracle Fusion ERP, Coupa, OneStream, Concur or similar systems/domain is required.
- Strong data modeling skills (normalization/denormalization, data warehouse schema types, dimensional) of data related to general accounting, procurement, expense management, HR, accounts payables, accounts receivables, cash management, products, project accounting.
- Experience with Azure and Cloud technologies (Azure Data Factory, Azure Synapse and Azure data bricks).
- Expertise and hands on software development required in one or more languages/frameworks such as Python, Scala/Spark.
- Strong technical skills with all data warehousing and integration technologies (Data Structures and tools like SQL, RDBMS, BI, ETL)
- Experience in implementing AI/ML models and integrating LLMs into data project will be strong plus
- Experience with Power BI or other reporting platforms.
- Knowledge of Agile project management methodology using tools like JIRA, Confluence.
General Requirements:
- Attention to detail a must
- Adaptable, ability to manage multiple priorities, organized, and independent
- Strong/concise communication skills, experience providing support to end users
- Strong documentation skills of process, steps, methodology
- Strong team player
- High energy level
- Familiarity with alternative manager or investment management industry/Corporate Finance business functions is a plus
Reporting Relationships
Vice President, Enterprise Systems
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Top Skills
Python
Scala
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