Top Tech Jobs & Startup Jobs

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.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Develop and modernize enterprise Power BI reports using PBIP, advanced DAX, semantic models, Live Connections, and Power BI Service. Reconcile new reports against legacy systems, validate calculations and KPIs, optimize performance, and support UAT and enterprise rollout. Collaborate with architects, engineers, analysts, QA teams, and business stakeholders while following Git, Azure DevOps, Agile, source-control, governance, and release-management practices.

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.