Principal Consultant, Data - NY or DC Metro

Principal Consultant, Data - NY or DC Metro

New York, United States | Posted on 04/09/2026

Work Style/

Location:

Hybrid, Office, Washington DC Metro or New York, NY

Type:
Full-Time

Sector:
Data, AI& Analytics

Biz First is supporting our client in identifying a Principal Consultant to lead data and AI engagements across a broad mix of industries and platforms. This is a senior, hands‑on role for someone with 10+ years of experience who wants to own customer relationships, lead multi‑stream delivery, and help shape a growing practice.

Principal Consultants run their engagements. You’ll have direct access to client executives and data leadership, set technical direction for delivery teams, and decide how the work gets done. A growing portion of the practice sits at the intersection of data and generative AI, helping customers build agentic workflows, semantic layers, and LLM‑ready data foundations.

Our client is a fast‑growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They’ve built a consultant‑first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The U.S. office combines the credibility of an established global brand with the energy of a New York startup.

This is a senior role with real ownership. You’ll run engagements end‑to‑end, set the technical direction, and make decisions close to the ground where they can make a difference. You’ll work across a wide range of verticals and platforms, partner with alliance teams at Snowflake, Databricks, and Google Cloud to shape new work, and help build the playbooks, reference architectures, and learning academy modules that the next generation of consultants will learn from.

• Own the customer relationship. Run multi‑stream programs with direct access to client executives and data leadership, and make the calls that move the work forward.
• Grow the account. Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements.
• Deliver hands‑on. Ship production‑grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants. Delivery at this level is hands‑on; nothing gets handed off and forgotten.
• Lead the team. Set technical direction for delivery teams of three to six consultants, break work into clear streams, unblock your engineers, review their code and designs, and raise the bar through your own contributions.
• Shape the practice. Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules you wish had existed earlier in your career.
• Languages:
  
  SQL (lots of it),
  Python
  , Spark.
• Data Platforms:
  Snowflake, Databricks, Big Query, Microsoft Fabric
  ; breadth across more than one is a plus.
• Transformation & Orchestration:
  dbt
  , Airflow, Dagster, Prefect
  .
• Ingestion & Streaming:
  Fivetran, Airbyte, dlt, Kafka, Kinesis
  , or homegrown pipelines.
• Governance & Catalog:
  Unity Catalog, Snowflake Horizon, Microsoft Purview
  .
• GenAI & ML:
  Snowflake Cortex, Databricks Mosaic, Vertex AI
  ; RAG, semantic search, agentic workflows, and LLM‑in‑the‑loop systems.
• BI & Viz:
  Power BI, Tableau, Looker
  .

This is a senior role, so we’re looking for someone with deep technical chops, a track record leading multi‑stream delivery, and the judgment to run customer relationships at the executive level. Depth in many of these areas is what we’re after:

• Located in Washington DC Metro or New York, NY.
• 10+ years in data engineering, analytics engineering, or data platform consulting.
• Track record leading multi‑stream delivery on complex data and analytics programs.
• Strong SQL fundamentals and data modeling depth (Kimball, Inmon, Data Vault, whatever your flavor), plus solid grounding in data engineering principles like data timelines, cleaning, and pipeline engineering.
• Deep hands‑on experience with modern cloud data…