Tech Holding

Data Engineer

• Define current-state and future-state data architecture across enterprise platforms and applications.
• Design scalable data foundations across cloud and hybrid environments.
• Establish standards across data ingestion, storage, transformation, modeling, metadata, lineage, quality, and governance.
• Create architecture patterns for batch, streaming, event-driven, and API-based data integration.
• Develop conceptual, logical, and physical data models aligned with business and technical requirements.
• Assess existing data platforms and identify gaps across scalability, quality, governance, integration, security, and accessibility.
• Partner with engineering, product, analytics, security, and business teams to ensure enterprise data is trusted, usable, and properly governed.
• Support data architectures that enable analytics, generative AI, retrieval-augmented generation, and other emerging technology use cases.
• Evaluate data platforms, tools, and technologies based on scalability, security, maintainability, and business needs.
• Translate complex technical concepts into clear recommendations, roadmaps, and architecture documentation for technical and executive stakeholders.

Data Architect

Solutions Engineer

• Lead technical discovery sessions, product demonstrations, proof-of-concepts, and pilot engagements for enterprise customers.
• Partner with sales teams throughout the technical evaluation process to drive successful customer outcomes.
• Support joint go-to-market initiatives and co-sell engagements with strategic partners, including AWS and Okta.
• Support customer integrations, technical evaluations, and implementation discussions.
• Collaborate with product and engineering teams to communicate customer requirements, feedback, and implementation challenges.
• Help transition successful enterprise pilots into signed customer engagements.
• Serve as a trusted technical advisor to enterprise stakeholders throughout the sales cycle.

Solutions Engineer – Enterprise Identity & Security

QA Engineer

• Validate end-to-end workflows across system components and services.
• Perform API testing using tools like Postman or similar REST clients.
• Verify request/response structures, data integrity, and service behavior.
• Test different functional scenarios across APIs, including positive and negative cases.
• Execute detailed functional, regression, and exploratory testing.
• Identify edge cases, failure scenarios, and unexpected system behaviors.
• Validate error handling, fallback mechanisms, and system resilience.
• Ensure consistency across different environments and configurations.
• Validate data consistency across APIs and databases.
• Perform backend validation using SQL queries.
• Verify logs, records, and system outputs for correctness.
• Test system behavior under different conditions (e.g., retries, timeouts, partial failures).
• Validate data flow across multiple services and components.
• Ensure system stability during complex workflows.
• Support pre-release validation and smoke testing.
• Participate in production verification and post-release checks.
• Collaborate with teams for defect triaging and resolution.

Senior QA Engineer – Manual

AI Engineer

• Design, develop, and maintain scalable full-stack applications using Node.js and React.js.
• Build and integrate REST APIs and cloud-based solutions.
• Work with AWS services, including exposure to AWS Bedrock.
• Integrate Generative AI capabilities into applications and contribute to AI-powered features.
• Collaborate with cross-functional teams to deliver high-quality software solutions.

Senior FullStack Engineer – Gen AI, Contract

Data Analyst

• Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions.
• Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy.
• Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time.
• Drive insights on customer acquisition, retention, and user experience within a subscription-based model.
• Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution.
• Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels.

Senior Data Analyst – Contract

Salesforce Developer

• Own the overall Salesforce architecture and platform strategy
• Design and implement scalable Salesforce solutions aligned with business objectives
• Work closely with the Salesforce Administrator on day-to-day platform enhancements and support
• Partner with business stakeholders to gather requirements and translate them into technical solutions
• Lead Salesforce customization efforts including workflows, flows, automation, security, and data management
• Develop and maintain custom solutions using Apex, Lightning Web Components, and Salesforce APIs when required
• Evaluate existing Salesforce processes and recommend improvements to increase efficiency and adoption
• Establish platform governance, development standards, and best practices
• Support integrations between Salesforce and third-party applications
• Provide technical leadership and mentorship to internal team members
• Collaborate with a Business Analyst who will assist with requirements gathering, documentation, and project coordination
• Ensure system scalability, performance, security, and long-term maintainability

Salesforce Architect – Contract

Full-stack Engineer

• Own full-stack feature delivery from schema design and API implementation through React UI and deployment
• Design and build scalable RESTful and GraphQL APIs, with a focus on clarity, performance, and developer ergonomics
• Architect and integrate Azure-hosted services including Azure Functions, Cosmos DB, Azure AI, and Azure DevOps pipelines
• Embed AI capabilities into products wrapping LLM APIs, building prompt pipelines, and integrating Azure OpenAI or Cognitive Services into features
• Use AI tools actively in your daily workflow: generation, debugging, test coverage, and documentation not as a crutch but as a force multiplier
• Participate in code reviews, architecture discussions, and technical planning with engineering teams and client stakeholders
• Instrument, monitor, and optimize performance across the stack from slow queries to front-end bundle bloat
• Contribute to raising the engineering bar: documentation, tooling, shared patterns, and mentoring less senior teammates

Full Stack Engineer

Frontend Engineer

• Architect and build production React applications
• Translate product requirements and Figma designs into polished, accessible, performant UIs
• Own the front-end layer of full-stack features
• Build and maintain shared component libraries with Storybook
• Instrument and optimize performance
• Write meaningful test coverage with Vitest, React Testing Library, and Playwright
• Integrate AI-powered UI patterns
• Use AI tools actively in your workflow
• Participate in design reviews, architecture discussions, and code reviews