Jobs at ProArch

Design, develop, and optimize Azure-based data engineering solutions supporting analytics, reporting, and AI initiatives. Build scalable ETL/ELT pipelines with Azure Data Factory, Microsoft Fabric, Databricks, Spark, PySpark, and Python. Develop lakehouse architectures, data models, governance, quality checks, monitoring, and CI/CD automation. Collaborate with clients and technical stakeholders, troubleshoot production issues, modernize legacy pipelines, and ensure reliable, secure, cost-efficient data platforms.

Leads global inside sales and business development across North America, driving enterprise prospecting, pipeline generation, GTM strategy, and revenue growth. Manages SDR and BDM teams, develops Microsoft partner-led campaigns, oversees forecasting and CRM governance, and improves sales conversion. Partners with Marketing, Account Executives, Solution Architects, Delivery, and Customer Success teams to position cloud, data, AI, cybersecurity, and digital transformation services for enterprise buyers.

Provides technical leadership for SAP integration strategy, BTP adoption, cloud modernization, and enterprise application integration. Responsibilities include migrating PI/PO and CPI interfaces to SAP BTP Integration Suite, designing SAP and non-SAP integrations, establishing architecture governance, developing technical specifications, and mentoring delivery teams. The role supports ERP transformations, system consolidations, testing, deployment, and production readiness across supply chain, manufacturing, HR, CRM, and logistics domains.

Design, build, and optimize scalable Azure cloud data platforms and high-performance ETL pipelines using Synapse, ADF, Spark, SQL, and Python. Implement data models, DataOps/CI-CD, quality checks, cost and performance optimizations, troubleshoot production issues, and collaborate with clients and stakeholders while mentoring junior engineers.

Tests AWS Glue data pipelines and file-processing interfaces across functional, integration, reconciliation, regression, performance, resiliency, security, and production scenarios. Defines and validates data quality rules for completeness, accuracy, consistency, validity, uniqueness, timeliness, referential integrity, business rules, and schema consistency. Reviews AWS configurations, parameters, logs, metrics, execution history, authentication, connectivity, retries, timeouts, and delivery validation across S3, SFTP/FTPS, AWS Transfer Family, APIs, and partner endpoints.

Designs, develops, and supports scalable AWS-based file ingestion and data processing solutions using Python, AWS Glue, and PySpark. Responsibilities include building ETL workflows, integrating databases and APIs, implementing validation and error handling, configuring serverless AWS services, optimizing performance and cost, supporting production operations, and collaborating on CI/CD. The role also requires monitoring, security configuration, documentation, reconciliation, and audit processes.

Administer and support Jira and Confluence across self-hosted, Data Center, and Atlassian Cloud environments. Configure workflows, permissions, schemes, integrations, plugins, dashboards, and automation. Maintain reliability, performance, backups, SSO, and user provisioning while resolving service tickets and providing training and documentation. Build integrations using REST APIs, Groovy, scripting, and automation tools, and collaborate with Engineering, Security, and Operations on enterprise initiatives.

Configure, maintain, and enhance Salesforce applications, including automation, security, data management, reports, and dashboards. Partner with product owners and development teams in Agile environments to gather requirements, deliver solutions, troubleshoot issues, support testing and deployments, and improve platform processes. Provide documentation, user support, and guidance while managing multiple Salesforce initiatives and maintaining data quality.

Supports implementation and stabilization of inbound and outbound healthcare data processes. Ingests, transforms, validates, and reconciles Medicaid claims and eligibility feeds from Gainwell, Arcadia, DHCS, and other sources. Establishes data-quality, refresh, completeness, and reconciliation controls for PRISM, case creation, and reporting. Supports Atrezzo interfaces, data exchanges, production analytics, troubleshooting, root-cause analysis, stakeholder communication, and implementation workstreams.

Design and build extract/load (ETL) scripts to move patch and RSU maintenance data and vendor feeds into a central database, create data extraction processes for reporting, produce daily management summaries, and help automate process flows and tracking.