Senior Data Platform Architect – Finance (Snowflake)

The Carlyle Group; Washington (District of Columbia); Hybrid; USD 170,000 - 190,000; Full time

Benefits offered by this job

In-office four days per week

Job summary

The Carlyle Group in Washington, DC is expanding its Global Technology & Solutions team with a senior Data Architect for Corporate Services. You will own the CFDW, define data models, govern the semantic layer, and lead a migration from legacy tools to Snowflake, Fivetran, dbt, and Sigma/Power BI.

You will coach engineers and contractors, partner with Finance stakeholders, and ensure high-quality, auditable data across the firm.

Qualifications

• Concentration in computer science, engineering, information systems, or a related quantitative field, preferred.
• Master’s degree, preferred.
• 10+ years of data engineering or data architecture experience, required.
• 7+ years in financial services such as private equity, asset management, investment banking, hedge funds, or fund administration, preferred.
• Demonstrated people management or tech lead experience for a team shipping production data solutions, required.
• Strong hands-on experience with modern cloud data platforms, with Snowflake preferred and Databricks or comparable platforms relevant.
• Hands-on experience with dbt for modular, testable, well-documented transformation models.
• Experience with ingestion and orchestration tooling such as Fivetran, Airflow, or equivalent.
• Experience building governed BI and semantic layers in Sigma Computing or Power BI.
• Track record migrating from legacy SSIS, SSRS, SSAS, or comparable stacks to a modern cloud data platform, including metric translation and reconciliation.
• Strong SQL and dimensional data-modeling skills for analytical and financial datasets.
• Python experience for pipeline tooling, automation, and integration.
• Experience with Azure and/or AWS cloud-native data architecture.
• Experience integrating enterprise systems via APIs, file-based transfers, or event-driven workflows.
• Experience implementing data quality, lineage, governance, and audit controls.
• Exposure to applied AI or LLM enabled workflows in a production setting, preferred.
• Track record of contributing to technical strategy and architectural direction, not only delivery on assigned tasks.

Responsibilities

• Own end-to-end CFDW architecture across ingestion, transformation, semantic layer, and consumption, setting standards the team follows.
• Design and build the Snowflake data platform across landing, integration, and presentation layers, optimized for large-scale financial datasets.
• Build and govern the dbt transformation and semantic layer, defining certified canonical finance metrics as the single source of truth consumed across Sigma and Power BI.
• Own ingestion through Fivetran and other tools as appropriate, including change data capture and schema drift handling across finance source systems.
• Lead the migration of legacy SSIS, SSRS, and SSAS reporting to the modern stack, reconciling and validating output equivalence before decommissioning.
• Stay hands-on as a builder, writing production-grade models and prototypes for the hardest problems while directing the team to deliver the bulk of the build.
• Evaluate and select the right technologies for each problem, bringing in new platforms and tools where they fit rather than forcing a fixed stack.
• Lead and develop a team of analytics and data engineers, setting direction, allocating work, and owning their growth and performance.
• Direct the Manager of Finance Data along with contractor and offshore execution teams, setting technical standards, reviewing deliverables, and holding delivery accountable.
• Establish engineering standards the platform is built to, including infrastructure, configuration, and pipeline as code (e.g., Terraform), CI/CD, automated testing, and observability, partnering with platform and DevOps functions so the platform is reproducible, version controlled, and reliable in production.
• Provide technical direction in vendor engagements, evaluating proposals and ensuring delivery accountability.
• Serve as the primary data platform partner for Finance leadership, translating reporting needs into platform priorities.
• Communicate proactively on incidents and roadmap, calibrating depth to the audience from engineers to senior sponsors.
• Represent Finance Technology in enterprise data governance forums and partner with Information Security, Legal, and Compliance.

Skills

SQL

Python

Data modeling

Leadership

Education

Master’s degree, preferred

Tools

Snowflake

dbt

Fivetran

Power BI

Job description

The Carlyle Group in Washington, DC is expanding its Global Technology & Solutions team with a senior Data Architect for Corporate Services. You will own the CFDW, define data models, govern the semantic layer, and lead a migration from legacy tools to Snowflake, Fivetran, dbt, and Sigma/Power BI.

You will coach engineers and contractors, partner with Finance stakeholders, and ensure high-quality, auditable data across the firm.