Jobs at Blue Orange Digital

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 end-to-end AI transformation engagements for private equity portfolio companies: run readiness assessments, score AI maturity, design roadmaps with ROI projections, manage delivery pods, execute stakeholder governance, and produce playbooks and repeatable offerings.

The HR Generalist will manage recruiting, compliance, employee relations, and HRIS operations, ensuring policies are updated and effective for a remote workforce.

Lead architect and hands‑on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements.

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.

Design, build, and deploy scalable data lakehouse and warehouse platforms; implement and optimize ETL/ELT pipelines (Databricks, dbt); develop data models and Medallion architecture layers; manage CI/CD and Infrastructure as Code (Azure DevOps, Terraform, CloudFormation); use cloud-native serverless offerings across major clouds; ensure data security and governance; integrate pipelines with BI tools like Tableau, Looker, and Power BI; communicate technical designs to stakeholders.

Design, develop, and maintain Power BI dashboards and data models; write optimized SQL for extraction and transformation; implement data validation and quality checks; analyze large datasets for trends and anomalies; communicate findings and progress to stakeholders and participate in client engagements.

Hands-on Senior Data Engineer to maintain and optimize an Oracle-centric enterprise data warehouse, manage cloud-to-Oracle integrations, evolve ETL/ELT pipelines, and help build a hybrid lakehouse (Apache Iceberg, OCI Object Storage, Parquet). Requires performance tuning, Linux administration, Java debugging, and close collaboration with senior client stakeholders. Contractor role with possible conversion to full-time.

Lead architecture and implementation of scalable cloud-native data platforms and medallion-tiered pipelines. Optimize ETL/ELT, enforce data governance, security, and CI/CD/IaC. Mentor engineers, drive adoption of managed/serverless cloud services, integrate BI tools, and lead client-facing technical consulting and architectural decisions.

Full-cycle Account Executive responsible for aggressive lead generation (events, cold outreach, networking), managing the sales funnel to close middle-market deals, coordinating with sales engineering and delivery, and using AI-driven automations to enrich leads, run outreach, maintain CRM hygiene, and meet quota while traveling up to 50%.

As a Senior Business Data Analyst, you will lead client engagements, translate business questions into analytical work, and deliver impactful data products while leveraging AI tools for efficiency.

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.

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.

Design, build, and automate scalable data platforms (lakehouses/warehouses). Implement and optimize ETL/ELT pipelines using Databricks and dbt, apply Medallion Architecture, manage IaC/CI-CD, ensure data security and governance, and integrate pipelines with BI tools while engaging with stakeholders.

Embed with client teams to map real-world processes and design agentic AI workflows. Build production-grade multi-step agents, integrations (CRMs, warehouses, APIs), RAG systems, observability, and evaluation. Run stakeholder sessions, document handoffs, and turn successful patterns into reusable platform capabilities.