When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.

InComm Payments works with the most recognized and valued brands in the world, and we are partnered with most of the world’s leading merchants. InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity, and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future.

You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.

• Design, architect, and implement a scalable, multitenant Azure Data Lake and analytics ecosystem using ADLS Gen2, Synapse Analytics, SQL Dedicated Pool, Serverless SQL, and Delta Lake patterns.
• Build and optimize end-to-end data pipelines using Azure Data Factory, Synapse Pipelines, Logic Apps, Azure Functions, and Automation Accounts for orchestration and operational tasks.
• Develop, operationalize, and optimize PySpark / Spark Notebooks running in Synapse or Azure Databricks for large-scale batch and near-real-time data transformations.
• Architect and implement modern ingestion frameworks using Event Hub, Kafka-on-Azure, and ADF Mapping Data Flows to support streaming and batch workloads.
• Design secure, governed multitenant environments including tenant-boundaries, RBAC, managed identities, data access policies, and Purview-based metadata governance.
• Develop wellstructured analytical models (Star, Snowflake, Data Vault) using Synapse, SQL Database, and Serverless SQL endpoints to support BI, reporting, and adhoc analytics.
• Implement best practices for data quality, cataloging, lineage, security, CI/CD, InfrastructureasCode, and Azure DevOpsbased deployment workflows.
• Optimize cloud spend through storage tiering, workload separation, SQL Pool optimization, and serverless query tuning.
• Administer and tune Azure SQL resources including SQL Dedicated Pools, SQL Database, and Serverless SQL—including TSQL development, partitioning, indexing, and performance tuning.
• Collaborate with cross-functional teams to translate business needs into scalable Azure data platform solutions.

Required Skills & Experience

• Strong experience designing and building Azure-based data platforms, including ADLS Gen2, Synapse, ADF, Event Hub, Azure SQL, Databricks, or Fabric.
• Extensive hands-on experience building enterprise-scale Data Lakes, ingestion frameworks, orchestration pipelines, and distributed compute solutions.
• Strong proficiency in Python, PySpark, SQL, and Spark-based processing frameworks.
• Deep understanding of Azure networking, identity, security, RBAC, and managed identities in a multi-tenant environment.
• Experience building and optimizing data pipelines for batch, near-real-time, and streaming workloads.
• Strong knowledge of SDLC, DevOps, CI/CD (Azure DevOps), IaC (ARM/Bicep/Terraform), environment promotion strategies, and automated testing.
• Hands-on experience with Azure Monitor, Log Analytics, Alerts, and operational frameworks.
• Familiarity with Power BI, Synapse SQL, and serverless analytics for BI workloads.
• Understanding of cloud cost-optimization and architectural tradeoffs in Azure.
• Relevant certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or equivalent experience.

Minimum Qualifications

• Bachelor’s degree in computer science, Engineering, or related technical field—or equivalent professional experience.
• 10+ years in Data & Analytics engineering across enterprise-scale systems.
• 6+ years architecting or engineering Azure data platforms, including Synapse, ADF, Azure SQL, or Databricks.
• Experience with operational engineering practices including:
  • Git & version control
  • CI/CD (Azure DevOps)
  • Infrastructure as Code (Bicep/Terraform/ARM)
  • Automated testing
  • Release management
  • Monitoring, logging, and operational support
• Strong understanding of modern data architectures, including Data Lakes, CDC frameworks, Delta Lake, data warehousing design, and distributed processing.
• Familiarity with Azure AI Services, ML Ops workflows, or integrating ML workloads with Synapse/Databricks.
• Comfortable implementing data governance, lineage, quality, and cataloging strategies using Purview.
• Preferred: Microsoft Certified Azure Data Engineer Associate or Azure Architect.

InComm Payments provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

*This position is eligible for the Employee Referral Bonus Program Tier IV #LI-SO1