Jobs at Blue Orange Digital

Own end-to-end data engineering projects and build scalable ELT pipelines using Snowflake, dbt, and Airflow. Responsibilities include performance tuning, dimensional modeling, data warehousing, BI data preparation, platform modernization, automation, risk identification, and mentoring engineers. The role also supports future AI/ML data capabilities and requires strong independent delivery in a post-acquisition SaaS data environment.

Build production LLM agents, multi-step workflows, MCP servers, evaluation and observability systems, and document-extraction pipelines. Architect AI-ready semantic data layers over Snowflake and dbt, develop Python ingestion and Airflow workloads, and implement retrieval, embeddings, governance, security, and reliable agent operations. Lead technical design, mentor peers, and advise clients in an embedded consulting engagement.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Design and implement an enterprise data governance framework for a Microsoft Fabric data warehouse spanning ERP, CTRM, SAP, trading, finance, risk, and logistics data. Establish cataloging, lineage, ownership, access controls, data quality rules, naming and classification standards, master data management, stewardship processes, and governance documentation. Collaborate with integration workstreams and train client data owners and analysts in a part-time advisory engagement.

Seller-doer solution architect who leads technical discovery, architects multi-vendor data and AI platforms, builds proposals and carries quota, then stays hands-on to guide delivery, write production code, and expand accounts across Snowflake, Databricks, cloud, and modern data tooling.

Lead Databricks pre-sales discovery and design Lakehouse architectures, author proposal technical content, run proofs-of-concept, and act as lead architect on major engagements. Own the Databricks partner relationship and co-sell motion, drive certification and internal enablement, resolve performance and governance challenges, and ensure successful production handoffs while building partner-sourced pipeline and scaling the Databricks practice.

Lead hands-on design and delivery of production-grade AI solutions within a vertical. Architect LLM and agentic systems, cloud and data platforms, run technical deep-dives, advise executives, support pre-sales, and build reusable reference architectures and domain-specific accelerators to scale engagements and practice growth.

Lead and grow the private equity channel through direct selling, pipeline creation, and relationship activation. Carry quota, close consultative PE-focused engagements ($150K–$1M+), define the PE sales playbook, represent the firm at industry events, and coordinate with delivery teams to ensure smooth handoffs and successful implementations.

Act as the founders' right hand to operationalize AI: prototype internal AI workflows, turn experiments into company-wide programs, run executive cadence and OKRs, unblock cross-functional projects, prepare strategic briefs, enforce responsible AI guardrails, and drive exit-readiness and organizational health.