Jobs at FormativGroup

Build and maintain connectors that parse ETL tools, databases, and vendor formats; convert extracted metadata into accurate lineage/dependency models; create automated tests and known-good datasets; improve connector framework and document reusable patterns; integrate AI into development, testing, and debugging workflows.

Hands-on Engineering Manager who will lead and contribute code, modernize legacy .NET/C# and Angular systems, build new Python/Node/React features, adopt AI-agent workflows, enforce testing/CI-CD/IaC, manage technical debt, hire and coach engineers, and maintain runbooks, security guardrails, and operational automation for cloud-native financial services products.

The Business Development Executive is responsible for driving sales in Data & Analytics, developing strategies, managing relationships with partners, and achieving revenue targets.

The Cloud Solutions Architect designs and leads cloud solutions by collaborating with stakeholders, ensuring security, and guiding migrations while documenting architectures and best practices.

Design, build and maintain microservices and APIs using Java and Spring Boot. Support cloud deployments and manage CI/CD pipelines while collaborating with cross-functional teams to enhance system performance.

The Project Manager oversees Salesforce projects, managing scope, budget, timeline, quality, and client relationships while guiding project teams and executing Agile methodologies.

The Aladdin Lead Technical Consultant leads Aladdin implementation initiatives, oversees testing strategy, and drives data analysis for client integration.

The Salesforce Business Analyst will gather requirements, configure Salesforce, perform testing, develop training, and support enterprise solutions.

Serve as the technical lead in sales: run discovery, assess data estates, demo product, own POCs, handle technical objections, scope engagements, and transition work to delivery while informing product priorities.

The Collibra Data Governance Specialist will enhance data governance using Collibra, implementing policies, managing metadata, and engaging stakeholders for data quality and compliance.

Lead end-to-end product design for a data-dense enterprise platform: translate lineage, migration impact, and governance workflows into clear UX; own design system; run user research; partner with Product and Engineering; apply AI to design workflow.

The role involves leading the architecture of scalable Salesforce solutions, collaborating with pre-sales teams, and defining technical standards while mentoring others.

Lead and grow the engineering org for a perimeter-safe data lineage and migration-impact platform. Own delivery, quality, security readiness, CI/CD, testing, infrastructure, and roadmap execution. Hire and retain engineers, drive secure perimeter/on-prem deployments and SOC 2 readiness, and apply practical AI across engineering practices.

The Salesforce Project Manager will lead Government Cloud implementations, manage project lifecycles, and ensure client satisfaction through successful delivery of complex Salesforce projects.

Lead full sales lifecycle to acquire new logos and expand strategic financial-services accounts using Salesforce partnerships. Drive $6-10M annual bookings, build executive relationships, orchestrate cross-functional teams, maintain pipeline and forecasts, and position Salesforce-based consulting solutions for wealth, asset, and banking clients.

The Senior Python Engineer designs, develops, and deploys machine learning solutions, ensuring scalability and integration into production systems, while collaborating with engineering and data teams.

Lead data governance assessments and define enterprise governance frameworks, roadmaps, and operating models. Implement and administer Collibra (catalog, glossary, lineage, quality, MDM), configure integrations and workflows, drive business adoption, facilitate stakeholder workshops, and mentor junior consultants to deliver data quality, compliance, and metadata management improvements.

Advise clients and lead delivery of enterprise data strategy and governance programs. Design governance technology, data architecture, MDM, data quality, operating models, roadmaps, and AI readiness. Assess environments, build implementation plans, evaluate vendor solutions, support business development, manage teams, budgets, and delivery, and develop methodologies to improve data management maturity.