Blue Orange Digital

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

Analytics Engineer, Power BI Specialist

• Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.
• Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.
• Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic.
• Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.
• Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.
• Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.
• Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.
• Perform light Linux server administration and performance tuning on existing ETL infrastructure.
• Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction.
• Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.

Human Resources

• Manage our ATS (TeamTailor) end-to-end: post roles, manage candidate pipelines, coordinate interviews, and own the offer process through signed letter
• Partner with hiring managers to build structured interview guides, role scorecards, and evaluation rubrics
• Source proactively for hard-to-fill roles using LinkedIn, job boards, and referral networks
• Track and report on sourcing channel effectiveness, time to fill, time to hire, and offer acceptance rate
• Monitor federal and state employment law changes affecting our multi-state, remote workforce
• Maintain I-9 records and ensure ongoing compliance with employment eligibility verification requirements
• Ensure proper worker classification (W-2, 1099, EOR) in coordination with finance and outside counsel when needed
• Own and maintain the employee handbook and policy library - keep policies current, clear, and consistently applied
• Manage Employer of Record (EOR) vendor relationships for contractor and international placements
• Own the HiBob platform: employee records, onboarding and offboarding workflows, time-off policy configurations, and data integrity
• Run new hire onboarding end-to-end: documentation, systems access coordination, 30/60/90-day check-ins
• Manage offboarding: exit documentation, exit interviews, COBRA notices, and final pay coordination
• Ensure clean, accurate data across HRIS, payroll, and benefits systems
• Serve as the first point of contact for employee questions on policy, benefits, PTO, and workplace concerns
• Support managers navigating performance conversations, cross-project feedback, and difficult employee situations
• Help design and implement scalable processes for structured feedback in a matrixed engineering environment
• Publish a monthly HR scorecard for executive review
• Own and continuously improve core metrics: Time to Fill Time to Hire 90-Day Retention Rate Voluntary Turnover Rate Offer Acceptance Rate Internal Mobility Rate Average Tenure at Separation
• Translate data into insights — not just numbers, but what they mean and what to do about them

HR Generalist

Full-stack Engineer

• Design, build, and deploy production web applications in collaboration with team members and stakeholders.
• Partner with cross-functional teams (data engineers, data scientists, designers, PMs, and clients) to translate business requirements into practical, product-driven applications.
• Build and maintain APIs, integrations, and data flows that connect front-end experiences to back-end data systems and pipelines.
• Leverage managed and serverless cloud offerings to create performant, scalable, cloud-native solutions.
• Apply sound engineering practices: unit tests, integration tests, automated testing, and Test-Driven Development.
• Own deployment processes for the software you build (CI/CD).
• Participate in code reviews, scrum/agile ceremonies, and follow SDLC best practices.
• Develop reusable, automated processes and tooling around the applications you build.
• Stay current with advances in web technologies and proactively explore innovations.
• Collaborate on architecture decisions and share architecture diagrams with the team.
• Help with requirements gathering, refinement, and grooming of new features.
• Continuously look for ways to improve the systems you build (performance, reliability, security).
• Interact with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.

Senior FullStack Engineer – Lead

• Design, build, and deploy production web applications in collaboration with team members and stakeholders.
• Partner with cross-functional teams (data engineers, data scientists, designers, PMs, and clients) to translate business requirements into practical, product-driven applications.
• Build and maintain APIs, integrations, and data flows that connect front-end experiences to back-end data systems and pipelines.
• Leverage managed and serverless cloud offerings to create performant, scalable, cloud-native solutions.
• Apply sound engineering practices: unit tests, integration tests, automated testing, and Test-Driven Development.
• Own deployment processes for the software you build (CI/CD).
• Participate in code reviews, scrum/agile ceremonies, and follow SDLC best practices.
• Develop reusable, automated processes and tooling around the applications you build.
• Stay current with advances in web technologies and proactively explore innovations.
• Collaborate on architecture decisions and share architecture diagrams with the team.
• Help with requirements gathering, refinement, and grooming of new features.
• Continuously look for ways to improve the systems you build (performance, reliability, security).
• Interact with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
• Lead the full-stack engineering of the pricing tool, focusing on the React front-end and robust integration with Microsoft Dynamics/Dataverse.

Senior Full Stack Engineer

Senior Fullstack Engineer

Data Analyst

• Lead client-facing discovery sessions to elicit, document, and prioritize business requirements with operators, analysts, and executives
• Translate ambiguous business problems into structured analytical work: data models, dashboards, KPI frameworks, and decision-support tools that get adopted
• Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift, and build trusted models in dbt or the client's modeling layer
• Build and maintain dashboards and reporting in Looker, Tableau, Power BI, Sigma, or the tool the client lives in
• Drive proactive analysis: surface trends, anomalies, and opportunities the client did not ask about but needs to see
• Apply AI tooling (LLM-based analysis, natural language to SQL, agentic data exploration, AI-assisted documentation) to compress timelines and raise the quality bar on every deliverable
• Set the cadence for client communication: status updates, demos, working sessions, and stakeholder reviews
• Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling

Senior Business Data Analyst

• 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

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines
• Lead the adoption of managed and serverless cloud offerings 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

• Lead client-facing discovery sessions in English with US-based operators
• Translate ambiguous business problems into structured analytical work
• Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift
• Build and maintain dashboards and reporting in Looker, Tableau, Power BI
• Mentor junior analysts on the engagement