Blue Orange Digital

Data Engineer

• Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.
• Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt.
• Design and maintain data models, potentially utilizing data virtualization tools like Cube.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud‑native application solutions and data pipelines.
• Apply best practices for data security and ensure compliance with governance requirements.
• Build high‑performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI.
• Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

Data Analyst

• Assist in collaborating with business stakeholders and technical teams to gather requirements for reports and dashboards
• Support the design, development, and maintenance of Power BI dashboards, reports, and data models
• Write basic to intermediate SQL queries to extract, cleanse, and transform data from various source systems
• Assist in defining and implementing data validation, accuracy, and quality checks
• Analyze datasets to identify trends and actionable insights under supervision
• Support client‑facing teams by preparing technical documentation and assisting in project communications

Solutions Engineer

• Architect end-to-end AI solutions for clients in your vertical — from discovery and requirements through system design, technology selection, and delivery oversight
• Provide hands-on architectural guidance across AI/ML pipelines, agentic systems, LLM deployments, and cloud infrastructure
• Serve as the trusted technical advisor to senior stakeholders within your vertical — leading AI strategy workshops, technology assessments, and roadmap sessions
• Build and maintain deep, trust-based relationships with client technical leaders and executives
• Conduct AI readiness assessments, technology due diligence, and build business cases that connect AI investments to measurable ROI
• Identify the highest-value AI use cases for your industry and codify them into repeatable engagement frameworks

Principal AI Solutions Architect

LLM Engineer

• Lead the design and productionization of machine learning, ML ops, traditional AI, LLMs, and agentic AI solutions into scalable, product-driven applications, serving as a technical expert.
• Drive the implementation of complex application integrations to leverage and deploy machine learning, ML ops, traditional AI, LLMs, and agentic AI products.
• Define and implement architectural solutions that ensure the delivery speed and scalability of product and data pipelines.
• Lead the adoption of managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines.
• Lead the implementation of advanced machine learning models including regression, classification, Bayesian methods, Retrieval-Augmented Generation (RAG), and advanced Agentic AI architectures.
• Serve as a technical leader to integrate prompt engineering and RAG components into production systems, ensuring seamless and robust deployment.
• Serve as a key resource in client-facing consulting, driving customer engagement and influencing technical solutions for clients.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, exploring innovative approaches to enhance machine learning, ML ops, traditional AI, LLMs, and agentic AI capabilities across the organization.

Senior Machine Learning Engineer, LLM Engineer

Account Executive

• Spearhead consultative sales process end-to-end, targeting middle-market accounts.
• Generate new business opportunities through lead generation tactics, including participation in industry events and cold outreach.
• Guide prospects through the sales funnel to successful deal closure.
• Collaborate with sales and customer success teams to develop customized solutions.
• Manage the full sales cycle from lead generation to deal closure, including maintaining accurate sales records in CRM.
• Present proposals that communicate the value proposition of offerings clearly and compellingly.
• Consistently achieve sales targets in a fast-paced environment.

Account Manager

• Build partner relationships across cloud partners (AWS, Databricks, Snowflake, Microsoft) and AI partners (Anthropic, OpenAI, Cohere)
• Develop partner champions who actively refer business to Blue Orange
• Manage partner program requirements, tiers, and compliance
• Represent Blue Orange at partner events and in partner ecosystems
• Generate partner-sourced leads through referral relationships and co-sell motions
• Coordinate deal registration and partner involvement across our sales team
• Execute co-marketing plans and run partner events (executive roundtables, webinars, dinners)

Technology Partnerships Manager

• Manage and enhance the client’s Snowflake data warehouse, focusing on structure, performance, and cost optimization.
• Design and implement complex SQL and Python transformations at the pandas/polars/numpy level across multiple schemas and data domains.
• Analyze existing Snowflake setup and recommend improvements in storage structure, clustering, and performance tuning.
• Implement best practices around data partitioning, security, role-based access control, and query performance.
• Develop and maintain Python-based data pipelines integrated with AWS and Snowflake.
• Write Python scripts and utilities (pandas, polars, numpy) to automate data validation, ingestion, and reporting processes.
• Implement and refine dbt models to transform raw data into analytics-ready structures.
• Support Tableau dashboard workflows, maintaining and optimizing data sources and extracts.
• Participate in knowledge transfer with existing team members to understand architecture, pipelines, and operational processes.
• Deliver thorough documentation and ensure smooth handoff post-engagement.

Platform Engineer

• Architect Internal Platforms
• Engineer Agentic Workflows
• Modernize CMS Integration
• AI-Driven Delivery
• High-Leverage Ownership

Data Engineer

Data Analyst

Principal AI Solutions Architect

Senior Machine Learning Engineer, LLM Engineer

Account Executive

Technology Partnerships Manager

Data Engineer

Senior Full-Stack Engineer – AI-Native Platform Engineering