Blue Orange Digital

Sales Engineer

• This is a true seller-doer role. You own the technical sale, then help deliver the work you sold.
• You lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal.
• Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to.
• You architect across multiple vendors and cloud platforms, not a single-product demo. You design end-to-end architectures on Snowflake, Databricks, AWS, GCP, and Azure.
• You deliver. You stay on the account and write production-grade code, so the solution you scoped is the solution that ships.

Senior Pre-Sales Solution Architect

Account Manager

• Own an annual sales quota tied to PE-originated and PE-influenced revenue.
• Build and manage a pipeline of PE firm relationships and portfolio company opportunities.
• Structure and negotiate deal terms for engagements ranging from $25K assessments to $500K+ multi-phase deployments.
• Activate your existing PE network immediately: operating partners, managing directors, deal teams, and C-level portfolio executives.
• Lead discovery sessions with PE operating partners and portfolio executives to diagnose data and AI maturity.
• Define the PE sales playbook: outreach sequences, discovery frameworks, proposal templates, and objection-handling guides that scale as the practice grows.

Senior Director, Private Equity Partnerships

• This is a true seller-doer role. You own the technical sale and then help deliver the work you sold.
• You will sit at the front of the engagement, translating ambiguous business problems into scoped, credible solutions across our service lines: Data Platform Modernization, AI/ML Implementation, Analytics and BI, and Data Strategy.
• You will lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal.
• Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to.
• That dual mandate is how you land new accounts and expand existing ones.
• You are measured on both what you sell and what you deliver.
• You will work directly with CTOs, VPs of Engineering, and CDOs, and pair with our practice leads and senior engineers.

Pre-Sales Solution Architect

Chief of Staff

• Build internal AI, hands-on.
• Turn AI work into a program.
• Founder leverage and key-person de-risking.
• Operating cadence and company performance reviews.
• Cross-functional execution and unblocking.
• Strategic narrative and decision support.
• Responsible AI and operational guardrails.
• Exit readiness and operational maturity.
• Organizational health and talent.

Engineer

• Embed with client teams to understand how work actually happens, shadowing operators and mapping processes that live in people's heads, spreadsheets, and a dozen disconnected tools
• Break down complex business processes into agentic workflows: decompose a goal into steps, decide what an agent automates versus where a human stays in the loop, and design the tool-use and decision logic to match
• Build production-grade agentic workflows using frameworks like LangGraph and LangChain, including tool calling, memory, routing, retries, and clean failure recovery
• Build integrations to the data and operational systems that workflows depend on: CRMs, ERPs, ticketing systems, data warehouses, internal APIs, and document stores, handling auth, rate limits, and reliability
• Enable core platform capabilities that the whole engagement reuses: retrieval over client documents, structured output and function calling, prompt versioning, logging, and observability
• Design evaluation and guardrails that make a workflow trustworthy in an enterprise setting: task-specific evals, regression checks, PII handling, and human review steps where the stakes demand them
• Run working sessions and demos that keep business stakeholders bought in, translating technical tradeoffs into clear decisions about cost, risk, and timeline
• Document what you build and hand it over cleanly, so client teams can operate and extend the workflows after the engagement
• Bring patterns back to BOD, turning what worked on one engagement into reusable building blocks for the next

Forward Deployed Engineer

Technical Program Manager

• Assist in the planning, execution, and closing of projects.
• Support the project team in adhering to project timelines and milestones.
• Help facilitate Agile ceremonies (e.g., daily stand-ups, sprint planning) as needed.
• Collaborate with team members to prepare project roadmaps.
• Assist in documenting project requirements, processes, and status reports.
• Communicate with stakeholders to provide updates and resolve blockers.
• Work with various teams to ensure accurate information sharing on related projects.
• Maintain project-related information on platforms like Confluence or similar tools.

Associate Technical Program Manager

Solutions Engineer

• Architect and build end-to-end AI solutions for clients, from requirements through system design, technology selection, and hands-on delivery.
• Contribute hands-on across AI/ML pipelines, agentic systems, LLM deployments, cloud infrastructure (AWS, Azure, Databricks, Snowflake), and modern data platforms.
• Participate in technical deep-dives, design reviews, and architecture sessions with client engineering teams, holding a high bar for code quality, testing, and documentation.
• Serve as a trusted technical contact for client stakeholders, supporting AI strategy workshops, technology assessments, and roadmap sessions that translate AI capabilities into concrete business value.
• Build and maintain strong, trust-based relationships with client technical leaders and engineers, embedding with their teams to accelerate delivery.

AI Solutions Architect

Risk

• Design and implement the enterprise data governance framework across OneLake and Fabric workspace layers, covering cataloging, lineage, ownership, and access control
• Define and enforce data cataloging standards for Bronze/Silver/Gold assets including Lakehouse tables, Warehouse objects, and Semantic Model entities
• Establish end-to-end data lineage tracking from source systems (ERP, CTRM, SAP) through transformation layers to final reporting data products
• Develop and apply data quality rules and validation frameworks across ingestion and transformation layers, integrated with Fabric pipeline execution
• Define naming conventions, data classification standards, and workspace-level access control policies in alignment with Fabric governance capabilities
• Collaborate with SAP S/4HANA and CTRM integration workstreams to document source-system metadata and lineage for all key data domains
• Develop and lead master data management strategy for key shared entities across trading, finance, and logistics domains
• Produce governance documentation, data stewardship process guides, and training materials for client data owners and analysts

Data Governance Lead

Data Engineer

• Design and implement Bronze-layer ingestion pipelines from regional ERP systems, CTRM instances (including Irely), and SAP S/4HANA source feeds into OneLake using Microsoft Fabric Data Factory.
• Build Silver-layer transformation logic in Fabric notebooks using PySpark and SQL against Delta Lake tables, covering data cleansing, standardization, deduplication, and business rule application.
• Develop Gold-layer data product tables serving Trader P&L, Global Position, VaR risk metrics, and Financial Consolidation reporting domains.
• Implement and maintain the OneLake medallion architecture following BOD design standards and engagement coding conventions.
• Perform schema design, data modeling, and query performance optimization across Fabric Lakehouse and Warehouse layers.
• Collaborate with the Analytics/Power BI Specialist to publish clean, analytics-ready Gold-layer outputs aligned to semantic model requirements.
• Participate in code reviews, enforce development standards, and contribute to CI/CD pipeline configuration for the Fabric workspace.
• Work with client-side Fabric/Azure data engineers as a technical peer—aligning on ingestion patterns, shared schemas, and pipeline governance.

Senior Data Engineer

• Implement Bronze ingestion pipelines from source systems including CTRM instances (Irely) and ERP/SAP S/4HANA feeds using Microsoft Fabric Data Factory
• Build Silver‑layer transformation logic in Fabric notebooks using PySpark and SQL on Delta Lake tables, covering cleansing, standardization, and business rule application
• Support development of Gold‑layer outputs aligned to Trader P&L, Global Position, and Financial Consolidation data products
• Write and maintain pipeline code on OneLake/Lakehouse following medallion architecture patterns (Bronze/Silver/Gold) established by the Technical Lead
• Participate in code reviews and apply BOD and engagement‑level coding standards consistently
• Conduct unit and integration testing for pipeline outputs; document data flows and transformation logic
• Coordinate with client‑side Fabric/Azure engineers to align ingestion patterns and shared schemas
• Support documentation of data lineage, transformation logic, and pipeline metadata throughout the engagement

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines, including the design and enforcement of the Medallion Architecture (or similar tiered structures)
• Lead the adoption of managed and serverless cloud offerings, in Fabric and other stacks, to create performant and scalable cloud-native application solutions
• Drive best practices for advanced ETL/ELT workflows, data governance, and data quality across platforms
• Serve as a technical leader, defining and enforcing data security and access control policies across all data pipelines and platforms
• Ensure robust systems across heterogeneous technology environments and BI integrations

Solution Architect, Tech Lead – Data & AI

Analytics Engineer

• Design and build Microsoft Fabric Semantic Models (Power BI datasets) on top of Gold‑layer Lakehouse and Warehouse data products
• Define DAX measures, hierarchies, relationships, and semantic model structures
• Develop production Power BI dashboards for Trader P&L, Global Position, VaR, and Financial Consolidation
• Work directly with trading, risk, and finance stakeholders to translate reporting requirements into semantic model design
• Optimize DirectQuery and Import mode performance for complex financial and trading datasets
• Define naming conventions, metric hierarchies, and semantic governance standards for the Fabric workspace
• Collaborate with Data Engineers to ensure Gold‑layer outputs are analytics‑ready
• Support self‑service analytics enablement for client analysts
• Contribute to UAT, report validation, and business sign‑off on accuracy and performance