4 Snowflake Cortex Jobs

Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

The Associate Director, Data Engineering will serve as a strategic leader within our Data & Analytics team, responsible for the development and delivery of scalable, secure, and high-performance data pipelines and analytical models. This individual will play a critical role in shaping the enterprise data ecosystem, driving innovation across analytics and data integration initiatives, and ensuring operational excellence in data engineering practices. You will lead a global team of data engineers to support enterprise-wide analytics across Sales, Marketing, Services, Customer Success, Finance, HR, Product, and Engineering. As a technical leader, you will balance hands-on contributions with strategic direction, governance, and execution oversight. Youll collaborate closely with enterprise architects, data & reporting analysts, data scientists, and business stakeholders to enable actionable insights and build a modern data infrastructure that supports our company’s growth. This role goes beyond traditional BI—it includes developing predictive models, uncovering insights with Gen AI-powered features to drive data driven decision making . You’ll use tools like Python, Snowflake Cortex , alongside SQL, DBT, Air Flow, and Snowflake to deliver scalable solutions that influence strategy and execution across the enterprise. In this role, you will... Provide strategic and technical leadership to the data engineering function, including architecture, development, quality, and delivery of data solutions. Lead and mentor a global team of engineers to build and support robust, performant data pipelines using Snowflake, DBT, Python, and AWS-based infrastructure. Partner with Business Stakeholders, Data Governance, and IT teams to define and execute a multi-year roadmap for data platform modernization and analytics enablement. Own the ETL/ELT development lifecycle—including design, orchestration, configuration, automation, testing, and support—ensuring adherence to SDLC, architectural standards, and security practices. Establish and enforce scalable best practices for data ingestion, transformation, modeling, documentation, and operational support. Define current and future state BI and data engineering architectures to support enterprise reporting, self-service analytics, and advanced data science use cases. Drive adoption of modern tools, techniques, and reusable frameworks that increase engineering velocity and reliability (e.g., CI/CD for data pipelines, automated testing, monitoring). Proactively identify areas for data quality, performance, and process improvement across the data pipeline ecosystem, lead remediation efforts. Act as an escalation point for complex production issues and strategic project deliverables. Serve as a technical thought leader and advocate for data engineering practices across the organization. You have what it takes if you have... 12+ years of experience in data engineering, data integration, or data architecture roles, including 4+ years leading high-performing teams in enterprise environments. Deep expertise in modern cloud data platforms (Snowflake, Azure, and/or AWS Redshift) and ETL/ELT tools such as DBT, Informatica, Talend, or equivalent. Strong hands-on experience designing and delivering scalable, secure, and resilient data pipelines and APIs in cloud environments (AWS preferred). Proficiency in SQL and Python for data manipulation, pipeline development, and automation. Solid understanding of data warehousing concepts (e.g., CDC, SCD types, dimensional modeling), data lake architectures, and real-time streaming. Proven ability to balance tactical execution with long-term strategic planning and stakeholder alignment. Experience working in Agile/Scrum environments using tools like Jira, Git, and Confluence. Demonstrated success collaborating across global teams and partnering with business, IT, and analytics leaders. Strong communication, documentation, and stakeholder management skills. Excellent communication skills and experience working cross-functionally with business and IT teams. Strong domain knowledge in CRM and Marketing Tech applications (Salesforce, Marketo, Gong, Gainsight). Bachelor's degree in Computer Science, Data Science, or equivalent. Extra dose of awesome if you have... Knowledge of Tableau, Looker, or similar BI tools is a plus. Experience with predictive analytics in go-to-market functions (e.g., campaign attribution, customer lifetime value modeling, lead prioritization, churn). Experience with Oracle ERP, CPQ, & quote to cash processes in a SaaS / recurring revenue company. Ability to work seamlessly as part of a multi-site, multicultural, development and testing team, onshore and offshore, internal and external resources. #LI-Onsite

About Opportunity: Kasmo is seeking a skilled and forward-thinking Data Science Manager with deep expertise in Snowflake AI/ML technologies, including Snowflake Cortex, ML development tools, and Generative AI, to join our team in Hyderabad, India. As a key leader in our clients Data Science and Machine Learning team, you will leverage the full suite of Snowflake's AI/ML and Cortex capabilities to develop, deploy, and manage cutting-edge machine learning solutions and drive AI-powered business transformation. Primary Roles & Responsibilities: Collaborate with business stakeholders, data engineers, and analysts to understand use cases and deliver scalable ML and AI solutions using Snowflake. Build and deploy machine learning models using Snowflake ML tools, including ML Functions, Snowpark ML Development, and ML Jobs. Harness the power of Snowflake Cortex, including: AISQL: Automatically generate and optimize SQL queries using natural language input. Snowflake Copilot: Collaboratively build and refine SQL queries with LLM-powered assistance. Document AI: Extract insights from unstructured documents such as PDFs and Word files. Cortex Fine-tuning: Customize LLMs for specific business or domain needs. Cortex Search: Implement AI-driven question-answering systems over document repositories. Cortex Analyst: Translate natural language into powerful, production-ready SQL. Use Snowflake ML Ops for managing the full ML lifecycle: Register and deploy models via Model Registry Leverage Feature Store and Datasets for consistent, reusable ML features and versioned data Run scalable training/inference pipelines using Container Runtime and manage compute environments within Snowflake Notebooks Ensure model robustness through ML Observability and Explainability tools and track end-to-end provenance with ML Lineage. Stay ahead of industry trends and Snowflake platform updates to introduce new capabilities and best practices to the team. Required Skills Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. 5+ years of experience in Data Science or Machine Learning roles, with proven success delivering production ML models. Strong hands-on experience with Snowflake, especially its advanced AI/ML features and the Snowflake Cortex ecosystem. Proficiency in ML frameworks such as scikit-learn, XGBoost, or LightGBM via Snowpark ML or Snowflake's Python SDKs. Familiarity with building end-to-end ML pipelines, deploying models, and managing them through MLOps processes. Solid understanding of LLMs, GenAI tools, and how to apply them to real-world business problems. Experience working with large-scale structured and unstructured data. Excellent communication and collaboration skills in a remote-first team environment.

Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.