Data Architect, Corporate Services

Position Summary

The Data Architect, Corporate Services is a senior technical role within Carlyle's Global Technology & Solutions organization, with ownership over the data architecture underpinning Carlyle's financial operations. The team is in the midst of a high‑visibility platform build: the Corporate Finance Data Warehouse (CFDW), which consolidates fragmented legacy reporting into a single, certified source of finance data subscribed to by teams across the firm.

This greenfield opportunity to define the data models, governance standards, and architectural patterns for a platform built to scale with Carlyle's growth.

This role carries end‑to‑end ownership of the CFDW: the architecture, the build, and the platform that Finance teams, reporting systems, and downstream applications trust for certified data. The architect is accountable for the lineage, quality, and reliability of every metric the platform publishes. The technical challenge is significant. Carlyle's finance reporting runs on a legacy Microsoft SSIS, SSRS, and SSAS estate, and this role leads its migration to a modern stack anchored in Snowflake, Fivetran, dbt, and Sigma Computing or Power BI.

Carlyle takes a best‑of‑breed approach, so the successful candidate evaluates tools on their merits and is comfortable building on any platform that fits the problem, not just the ones listed here. Equally important is the leadership dimension. This is not an individual contributor role: the successful candidate's primary leverage is through platform architecture, developing engineers, and directing a team of employees and contractors.

They build and prototype directly when it matters most, and partner with the Finance Technology Lead and Finance stakeholders to turn reporting needs into durable data products.

In‑office requirement: 4 days per week.

Twelve months in, the successful candidate will have moved Carlyle's corporate finance reporting from a fragmented legacy estate to a working, certified data platform that Finance teams actively subscribe to in place of independent extracts from source systems. The CFDW will be live, covering its initial domains, with legacy SSIS, SSRS, and SSAS reporting retirement underway. But standing up the platform is the floor, not the ceiling.

The measure of success is whether Finance trusts it: certified metrics governed through a single semantic layer, end‑to‑end lineage that holds up under audit and SOX scrutiny, and AI‑driven data quality monitoring that surfaces issues before Finance users encounter them. The strongest signal of success is that Finance teams have stopped building around the platform and started building on top of it.

Equally important is the foundation the candidate has built for the long term: a high‑performing engineering team, deep relationships with Finance stakeholders, and an architectural vision that scales well beyond year one.

• Data Platform Architecture & Delivery (≈45%)
  • Own the end to end CFDW architecture across ingestion, transformation, semantic layer, and consumption, and set the standards the team builds to.
  • 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, with reconciliation validation confirming output equivalence before decommission.
  • Stay…