Jobs at Datavail

Designs and leads production-grade batch, incremental, streaming, and real-time data pipelines across Microsoft Fabric and Azure. Builds Delta Lake medallion architectures, dimensional and Data Vault models, CDC and incremental-loading solutions, CI/CD automation, governance, security, observability, and data-quality controls. Supports migrations to Fabric, prepares governed data for AI and RAG workloads, and leads client-facing engineering workstreams, estimates, risk management, mentoring, and operational handover.

Provides L2/L3 production support and enhancement development for Oracle Siebel CRM/POS systems. Responsibilities include incident resolution, root cause analysis, application and integration monitoring, workflow and batch-process support, release validation, integrations with enterprise, eCommerce, and POS platforms, documentation, and process improvement. The role collaborates with business, infrastructure, service desk, vendor, and technical program management teams while supporting Siebel domains such as order management, payments, fulfillment, and customer service.

Design and build enterprise data warehouse assets, including dimensional models, conformed dimensions, fact tables, and scalable Azure Databricks pipelines. Develop PySpark, Spark SQL, and Delta Lake transformations; implement incremental processing and CDC; translate SQL Server logic; optimize distributed workloads; and reconcile data for accuracy and auditability. Collaborate with Databricks leadership to deliver production data assets.

Leads enterprise data-platform architecture for clients using Microsoft Fabric and Azure. Responsibilities include discovery, target-state design, data modeling, migrations, DevOps and CI/CD, governance, security, AI/ML enablement, consulting, pre-sales, technical delivery leadership, mentoring, and development of reusable architecture assets. The role requires hands-on Fabric production experience, enterprise-scale implementation ownership, advanced SQL and Python/PySpark skills, client communication, and travel up to 25%.

Serve as a senior SQL Server DBA and trusted client advisor, focusing on performance tuning, cloud database architecture, automation, high availability, disaster recovery, capacity planning, and proactive risk management. Lead root-cause analysis, database migrations, deployment scripting, monitoring, reporting integrations, and service lifecycle planning across AWS and Azure. Build client relationships, guide technical strategy, and deliver reliable database services within defined service-level objectives.

Develop and maintain full-stack applications using .NET, React, relational databases, APIs, and cloud services. Responsibilities include database development and migrations, system integrations, automated testing, secure coding, troubleshooting, code reviews, CI/CD support, deployments, monitoring, documentation, and stakeholder collaboration. The role also contributes to AI/ML-enabled application features using AWS services and supports releases, user acceptance testing, and production stabilization.

Lead cloud Site Reliability Engineering for customer environments across AWS and Azure. Responsibilities include incident response, RCA, SLI/SLO management, observability, highly available architecture, disaster recovery, infrastructure automation, CI/CD, security, compliance, cost optimization, and cloud infrastructure operations. Serve as a senior customer technical contact, escalate complex issues, improve reliability, and mentor SRE engineers.

Provide L2/L3 production support for Oracle Siebel CRM and POS systems. Responsibilities include incident troubleshooting, root cause analysis, application monitoring, integration and workflow support, batch-process monitoring, release and deployment assistance, testing, production validation, stakeholder coordination, documentation, and recommending improvements. The role also supports integrations with enterprise systems, eCommerce platforms, and POS solutions.

Designs, develops, and supports enterprise ETL/ELT pipelines, data warehouses, and integrations using SQL Server, SSIS, and Azure Data Factory. Responsibilities include modernizing legacy SSIS workloads, optimizing SQL performance, integrating APIs and SFTP, ensuring data quality, troubleshooting production issues, implementing CI/CD, and supporting hybrid cloud environments. The role also contributes to architecture decisions and may incorporate AI-enabled data engineering, anomaly detection, and intelligent automation.

Design, develop, troubleshoot, and modernize enterprise data integration and warehousing solutions. Build Azure Data Factory and ETL/ELT pipelines, migrate SSIS workloads, optimize SQL performance, integrate APIs and file-based systems, and support hybrid platforms. Ensure data quality through validation and reconciliation, resolve production issues, implement CI/CD practices, and recommend cloud modernization strategies while collaborating with technical and business stakeholders.

Designs enterprise data and AI governance operating models, risk-tiering frameworks, lifecycle stage gates, and practical controls aligned with major AI governance standards and regulations. Uses Microsoft Purview and Fabric to implement governance, privacy, security, and insider-risk controls. Partners with sales, marketing, and practice leaders to shape offerings, lead client engagements, and develop the consulting team.

Leads the people-side adoption of data governance and technology engagements. Conducts ADKAR and readiness assessments, analyzes stakeholders and change impacts, coaches sponsors and managers, and develops communication, training, and reinforcement plans. Defines and reports adoption metrics, including for AI tools and governance policies. Facilitates discovery workshops and supports sales pursuits as a change-management subject matter expert. This is an individual-contributor, fully billable consulting role.

Leads design services and Design Sprint engagements as the primary experience designer. Conducts user research, maps journeys, prototypes solutions, tests with users, facilitates discovery workshops, supports delivery backlogs, validates usability and business outcomes, trains others in the DRIVE framework, and maintains design methods and templates. This is a 100% billable individual contributor role requiring 7–10 years of experience design.

Develops and optimizes Power BI dashboards, reports, semantic models, datasets, DAX measures, and data models. Builds Microsoft Fabric analytics solutions using OneLake, Lakehouse, Dataflows Gen2, Warehouses, Data Factory Pipelines, and Direct Lake models. Supports Power BI-to-Fabric migrations, enterprise data modeling, KPI definition, governance, security, workspace access, deployment pipelines, capacity monitoring, and refresh performance optimization.

Provides tier-two, 24x7 managed services support for AWS and Azure production environments. Responsibilities include incident response, root cause analysis, reliability engineering, infrastructure automation with Terraform, CI/CD, containerized workload operations, observability, performance and cost optimization, and hybrid-cloud support. The role manages cloud resources, networking, storage, identity, backups, monitoring, Kubernetes deployments, and escalation handling while improving runbooks, automation, service reliability, and operational efficiency.

Generate demand among enterprise and mid-market B2B prospects using account-based marketing, predictive scoring, persona mapping, and journey orchestration. Engage decision-makers, assess relevance, generate interest, lightly qualify prospects, and schedule sales appointments. Manage multiple priorities independently in a remote environment while collaborating with marketing and sales teams.

Supports information security, privacy, and AI management programs aligned with ISO standards. Performs compliance monitoring, audit and risk assessment support, vendor risk reviews, security control health checks, and ticket management in ServiceNow GRC. Reviews security domains including vulnerability management, DLP, endpoint security, and SIEM, while preparing compliance dashboards, metrics, and management reports. Helps improve control effectiveness, reporting quality, and process efficiency.

Lead Oracle Fusion Payroll implementations for US and Caribbean countries, including requirements analysis, payroll configuration, statutory compliance, testing, integrations, reconciliations, quarterly updates, and post-go-live support. Prepare solution documentation, manage stakeholder relationships, mentor junior consultants, and serve as the payroll subject matter expert across implementation and AMS engagements.

Leads a Cloud ERP managed services support team, setting objectives, coaching employees, managing capacity and rosters, and overseeing performance. Provides technical leadership, handles escalations, monitors SLA and OLA metrics, and drives incident and problem management. Improves processes, ensures security and compliance, identifies training needs, supports recruitment and performance reviews, and manages continuous knowledge transfer and internal projects.

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using AWS, Python, PySpark, SQL, Redshift, RDS, and SSIS. Optimize data processing, implement infrastructure with Terraform and YAML, manage code with Git, and support containerized workloads using Podman. Monitor data platforms, ensure quality, security, and performance, troubleshoot production issues, and collaborate with technical and business stakeholders.