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Staff Data Engineer
Key Responsibilities: Lead, develop, and maintain data architecture and standards for data integration and warehousing Research and develop data solutions for BI development and data visualization Maintain data infrastructure for performance, scalability
Data Architect with GCP
data-specific business problems, including data collection, extraction, integration, and visualization Design large data platforms and define tools for automated data pipelines and ETL processes Required Qualifications 15+ years of experience in data...architecture Expertise in SQL, Python, ERD, GCP (especially BigQuery, GCS, Cloud Function, Composer), and DBT Experience with big data environments (100TB+) Extensive knowledge of modern data technologies and data modeling In-depth understanding
Staff Data Engineer
Key Responsibilities: Provide architectural leadership across data engineering teams and systems Design and connect data systems to deliver high-quality data across teams Partner with stakeholders to enhance the data stack and support data governance...Required Qualifications: 10-12 years of experience in data architecture or engineering, focusing on enterprise data systems 5+ years of hands-on experience with cloud-based data platforms, preferably Snowflake 3+ years of experience with data transformation
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Senior Enterprise Architect
Required Qualifications: Bachelor's degree in Computer Science or related field; advanced degree preferred 8+ years of experience in building enterprise architecture roadmaps and architecting end-to-end business solutions Knowledge of databases, data...architecture, and data science/analytics Experience with cloud architecture solutions, preferably Azure Familiarity with UML, Microservices architecture, and various programming languages and technologies
Senior AI Engineer
Develop and maintain evaluation pipelines to assess AI behavior and track long-term performance Required Qualifications Experience with AI-powered applications, particularly large language models and complex information retrieval Strong background in data...architecture and integrating third-party APIs Proven ability to design and implement graph-based and relational data models Experience in leading AI projects focused on real-world applications Familiarity with responsible AI practices and comfortable
GTM Engineer
a fast-paced B2B Company startup, with a focus on training and enablement Hands-on experience with LLMs, prompt engineering, or generative AI tools Experience with workflow tools like Clay, N8N, or Make for building outbound campaigns Fluency in data...architecture (SQL, dbt, or equivalent) with a focus on automation Strong understanding of B2B SaaS revenue workflows and experience in leading organizational change
Enterprise Architect - Data & AI
Key Responsibilities: Design and implement scalable data architectures and AI solutions across Azure cloud and on-prem environments Drive integration of AI solutions with existing data infrastructures and modernize legacy systems Implement best practices...architectures, and AI/ML frameworks Proven experience modernizing legacy data systems Experience integrating DevOps practices into data pipelines
Solutions Architect
Key Responsibilities Design scalable, secure, and high-performance data architectures Translate business requirements into robust technical solutions Guide teams on best practices for building with PySpark, AWS, and Databricks Required Qualifications...8+ years of experience in data engineering, architecture, or related roles Proven experience designing enterprise-grade data systems Deep expertise with AWS, Databricks, and PySpark Strong Python and SQL skills
Enterprise Architect - Data & AI
Key Responsibilities: Design and implement scalable data architectures and AI solutions across Azure cloud and on-prem environments Drive integration of AI solutions with existing data infrastructures and modernize legacy data systems Oversee the...systems, including modernizing data architectures Knowledge of AI/ML frameworks and integration into existing data infrastructures
Senior Vice President of Data
Key Responsibilities Lead and scale cross-functional technology and transformation teams, overseeing global programs and budgets Own enterprise data strategy, architecture, and applied data science capabilities, including analytics, AI, and ML Oversee
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