Jobs at Fractal

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

Consult with senior clients on AI-led learning solutions, drive enterprise growth through strategic sales, ensure delivery alignment, and manage client engagements to achieve revenue targets.

Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.

Design, implement, and manage CI/CD pipelines using AWS/Azure/GCP DevOps tools, automate Azure resource management, and optimize source code repositories with Git.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Manage end-to-end procurement operations including global vendor sourcing and onboarding, RFQ/RFP drafting, supplier selection, PO management, contract lifecycle management, audits, reporting, reverse auctions, and driving sustainable procurement and supplier diversity objectives.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

The Kafka Engineer will design, build, and maintain high-performance data streaming pipelines, manage Kafka infrastructure, and collaborate with teams on integration and security mechanisms.

Lead data architecture and engineering solutions on Google Cloud Platform, focusing on big data, AI/ML, and cloud migrations while ensuring secure and scalable implementations.

We are seeking a Full Stack Developer with 6+ years of experience in .NET and React to innovate, build, and maintain technology services addressing complex business problems.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.

Design, build, test, and maintain enterprise iOS applications. Own the mobile development lifecycle, collaborate with product, design and backend teams, manage App Store releases, ensure performance, security and quality, and troubleshoot and optimize applications.

The Senior Consultant will lead analytics projects involving BI and data engineering, focusing on dashboard development, data pipeline management, and exploratory analysis to support product decisions.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

Lead technology strategy and architecture for data and cloud-native solutions on GCP; engage senior client stakeholders, guide delivery teams, ensure end-to-end execution, mentor engineers, and drive scalable, secure data and ML platforms.

Design, develop, and maintain interactive Power BI dashboards; perform ETL and data modeling; write complex DAX; conduct exploratory analysis; collaborate with stakeholders to translate requirements into BI solutions; ensure data accuracy, security, and performance; present insights to non-technical audiences.

Lead design and delivery of end-to-end integrations for an Invoice-to-Cash platform. Define APIs, data contracts, canonical models, and event-driven workflows. Integrate ERPs, banking APIs, EDI/SFTP/email ingestion, and AI engines. Build monitoring, reconciliation, and governance; lead an integration engineering team to ensure scalable, secure, and automated financial reconciliation.

The Senior Data Scientist will lead AI/ML projects, manage a data science team, implement analytical solutions, and leverage data for business insights.

The Data Modeler is responsible for designing and architecting enterprise data applications, focusing on data modeling, strategy, and warehouse development.