Top Tech Jobs & Startup Jobs

Configure, support, and optimize packaged or SaaS applications using Databricks Unity Catalog, APIs, and low-code platforms. Manage releases, application performance, system stability, and updates while ensuring compatibility with business needs. Collaborate across teams, provide technical solutions, make team decisions, and facilitate knowledge sharing. The role requires shift-based work and expertise in cloud-based data management and application support processes.

Design, develop, and maintain data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality, migrate and deploy data across systems, optimize workflow performance and reliability, troubleshoot issues, document processes, collaborate with cross-functional teams, and guide junior team members.

Design, develop, and maintain data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality, reliability, and performance across structured and unstructured data environments. Collaborate with cross-functional teams to understand requirements, troubleshoot pipelines, document workflows, and deliver scalable data solutions. The role also involves contributing as a subject matter expert and supporting junior team members.

Design and implement production-ready AI applications using generative AI, deep learning, neural networks, cloud services, chatbots, NLP, and image processing. Lead solution design, coordinate cross-functional integration, make team decisions, solve complex problems, and mentor junior engineers. Ensure scalable cloud or on-premises deployment pipelines and high-quality AI solutions.

Designs and implements scalable Snowflake data platforms, architectures, data models, cloud solutions, and end-to-end pipelines. Collaborates with architects, clients, and business stakeholders on data transformation roadmaps and enterprise analytics initiatives. Leads Snowflake administration, performance optimization, proposals, proofs of concept, and modernization programs. Develops AI agent solutions using Snowflake Cortex, mentors engineers, and provides technical leadership across data and generative AI initiatives.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Microsoft Azure Databricks. Ensure data quality, support data migration and deployment, optimize workflows, troubleshoot data issues, document processes, collaborate with stakeholders, and mentor junior team members.

Provides application support for critical business systems by troubleshooting technical issues, monitoring system performance, managing Hadoop environments, and resolving performance problems. The role collaborates with teams, documents technical issues and resolutions, contributes to support strategies, and independently develops subject-matter expertise.

Designs and leads graph data solutions, including graph databases, data models, integration patterns, and scalable ETL pipelines. Collaborates with integration and data architects to ensure cohesive system and data integration. Develops graph data ingestion and processing solutions using platforms such as Neo4j, TigerGraph, or AWS Neptune, optimizes query performance, and creates solution deliverables. Requires strong data architecture, transformation, analytics, client-facing, communication, and technical solutioning skills.

Develop and enhance custom software solutions across systems and applications using modern frameworks and agile practices. Design and optimize Snowflake data warehouse solutions, data integration, ETL processes, query performance, and data quality. Serve as a subject matter expert, make team decisions, coordinate cross-functional efforts, implement development best practices, and mentor junior engineers.

Designs and develops scalable graph data platforms, pipelines, models, and integrations. Collaborates with Integration and Data Architects to create cohesive data solutions, using graph databases such as Neo4j, TigerGraph, and AWS Neptune. Builds ETL processes, optimizes query performance, creates technical solution deliverables, and supports data transformation and analytics projects. Requires strong graph modeling, query language, data architecture, solutioning, communication, and client-facing skills.