6 Snowflake Platform Jobs

As an Architecture Senior Advisor at Evernorth Health Services, a division of The Cigna Group, you will play a crucial role in transforming healthcare and improving the lives of millions of members. By leveraging cutting-edge Data & Analytics technologies, you will be responsible for designing and architecting enterprise-grade data analytics solutions, focusing on building scalable cloud infrastructure using AWS. Your work will impact millions of customers, members, and employers who rely on The Cigna Group daily. Your primary responsibilities will include designing and architecting data analytics solutions that align with industry best practices and organizational goals, developing effective data pipelines and validation mechanisms, leading project teams in setting technical direction for large-scale data initiatives, collaborating with overseas HIH resources, advocating for best practices and governance, exhibiting attention to detail in system design, demonstrating a proactive mindset for problem-solving, and effectively communicating technical concepts to diverse audiences. To excel in this role, you must possess extensive experience in data architecture and cloud infrastructure, a strong background in designing robust data pipelines and workflows, knowledge of software engineering principles, leadership experience, experience working in matrix organizations, strong analytical and problem-solving skills, a proactive and independent work style, excellent communication skills, and attention to detail in system design. Preferred skills include experience with Databricks, Snowflake, and Teradata platforms, familiarity with data governance and security practices in cloud environments, proficiency in SQL, Python, or Scala, and expertise in designing architecture, building API integrations, configuring and deploying cloud services. The ideal candidate will have 13 to 16 years of experience in data architecture or solution architecture, particularly in data analytics or cloud computing, proven experience building enterprise-level data and analytics solutions on AWS, at least 5 years of leadership experience, a minimum of 6 years of experience working in a matrix organization, and a Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, or a related field.,

As a FullStack Engineer [ReactJS & NodeJS] within our partner's organization, you will play a pivotal role in the development of a cutting-edge SAAS product integrated with AI/ML capabilities aimed at enhancing the financial performance management of businesses. Your primary focus will be on resolving complex issues for esteemed enterprise clients in the dynamic FinTech industry. Your responsibilities will entail taking the lead in product development, where you will be responsible for crafting and implementing critical components of our clients" offerings using state-of-the-art technology within the AWS cloud environment. Additionally, you will collaborate closely with cross-functional teams across different departments and time zones to ensure the delivery of high-quality solutions aligned with our strategic roadmap. Building strong partnerships with business units to consistently deliver added value to our clientele and advocating for the cultural principles and technological ethos of our client will also be key aspects of your role. To excel in this position, you are expected to demonstrate technical proficiency in Node.js and ReactJS, with a proven track record of flexible coding skills. You should possess significant professional experience ranging from four to ten years in designing, developing, and implementing complex software systems while maintaining a high standard of excellence. A solid background in system architecture, data modeling, and system design, along with exposure to Big Data paradigms and a thorough understanding of RDBMS, is essential. Your ability to thrive in a startup environment, utilizing creativity and effective problem-solving to navigate ambiguities, scarce resources, and conflicting priorities, will be crucial. You should be deeply committed to maintaining technical excellence and be a strong advocate of Agile development approaches. Proficiency in a wide range of technologies, particularly in multi-tenant SaaS architectures, CI/CD techniques, the Snowflake platform, various data storage solutions, and integrations with enterprise systems, is highly desirable. Additionally, expertise in creating innovative applications using AI-ML technologies, especially with knowledge of AWS resources like Step Functions, RDS, Kinesis, and ELK, will be advantageous. Ideal candidates for this role should hold a Bachelor's or Master's degree in computer science or a closely related engineering field, with a preference for applicants from prestigious universities such as IIT, NIT, or BITS. If you are a forward-thinking and skilled professional looking to make a significant impact in the FinTech industry, we invite you to apply and be a part of our innovative team.,

At PwC, our team in integration and platform architecture focuses on designing and implementing seamless integration solutions and robust platform architectures for our clients. We enable efficient data flow and optimize technology infrastructure to enhance business performance. If you join our integration architecture team, you will be responsible for creating architectures that connect various organizational systems and applications seamlessly, thus improving overall business processes. As a member of PwC Acceleration Centers (ACs), you will play a crucial role in supporting a wide range of services provided by the Acceleration Center, including Advisory, Assurance, Tax, and Business Services. Working in our innovative hubs, you will be involved in challenging projects and offer unique services to enhance client engagements through quality and innovation. Additionally, you will participate in digitally enabled training programs designed to enhance your technical and professional skills. As a Senior Associate in the Data and Analytics Engineering team, your responsibilities will include executing data migration projects to the Snowflake platform. You will work on transitioning workloads to Snowflake while focusing on performance and security aspects. Collaboration with data architects and analysts is vital in guiding teams through complex challenges and building strong client relationships. This role offers an exciting opportunity to deepen your expertise in cloud technologies and data governance, contributing significantly to our data strategy. Responsibilities: - Execute data migration projects to the Snowflake platform - Collaborate with data architects and analysts to address challenges - Guide teams through complex scenarios for successful outcomes - Build substantial relationships with clients during the process - Enhance knowledge in cloud technologies and data governance - Analyze performance and security aspects of data transitions - Contribute to the overall data strategy of the organization - Ensure smooth transitions while maintaining data integrity Requirements: - Bachelor's Degree - Minimum 4 years of relevant experience - Proficiency in oral and written English Desired Skills: - Proven experience in data migration projects - Proficiency in SQL and query optimization - Understanding of cloud platforms such as AWS, Azure, or GCP - Knowledge of data governance and compliance - Strong problem-solving and analytical skills - Proficiency in project management and collaboration - Experience with Snowflake Gov Cloud preferred - Effective communication skills with diverse teams - Hands-on experience with Snowflake's core functionalities,

We are looking for an experienced Data Governance Architect with deep expertise in Alation and Azure cloud platforms. This role involves partnering with senior stakeholders to define and champion an enterprise data catalog and dictionary strategy, oversee the entire lifecycle of the data catalog from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. You should have at least 10 years of experience in data governance and proven expertise in the Alation tool on the Azure platform. Understanding of the Snowflake platform is also required. Additionally, you should have proven expertise in at least two areas such as Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks such as DAMA or DCAM, with practical implementation experience, is essential. In this role, you will be responsible for assessing current cataloging and dictionary capabilities, identifying gaps, and developing actionable roadmaps to enrich metadata quality, accelerate catalog population, and drive adoption. You will also need to identify different data personas using the data catalog and design persona-specific playbooks to promote adoption. Your responsibilities will include designing, deploying, and managing scalable data catalog and dictionary solutions using platforms like Alation. Understanding of leading Data Governance tools like Collibra and Purview will be beneficial. You will oversee the entire lifecycle of the data catalog, from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. Furthermore, you will define architecture and best practices for metadata management to ensure consistency, scalability, and sustainability of the catalog and dictionary. You will identify and catalog critical data elements by capturing clear business terms, glossaries, KPIs, lineage, and persona-specific guides to build a trusted, comprehensive data dictionary. Developing and enforcing policies to maintain metadata quality, manage access, and protect sensitive information within the catalog will be part of your responsibilities. You will need to implement robust processes for catalog population, including automated metadata ingestion, leveraging APIs, glossary management, lineage tracking, and data classification. Moreover, you will develop a workflow management approach to notify changes to certified catalog content to stewards. Creating reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams will also be expected from you.,

We are seeking an experienced Data Governance Architect with specialized knowledge in Alation and Azure cloud platforms. In this role, you will collaborate with senior stakeholders to establish and advocate for an enterprise data catalog and dictionary strategy. Your responsibilities will encompass overseeing the complete data catalog lifecycle, from defining metadata standards and initial MVPs to executing large-scale enterprise rollouts. To qualify for this position, you should have over 10 years of experience in data governance and demonstrate proficiency in Alation tool on Azure platform. Additionally, familiarity with the Snowflake platform is required. Expertise in at least two of the following areas is essential: Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks like DAMA or DCAM, along with practical implementation experience, is crucial. As a Data Governance Architect, you must possess strong capabilities in conducting maturity assessments, gap analyses, and delivering strategic roadmaps. Excellent communication skills are necessary for articulating complex topics clearly and producing precise documentation. Key Responsibilities: - Evaluate existing cataloging and dictionary capabilities, identify gaps, and create roadmaps to enhance metadata quality, speed up catalog population, and foster adoption. - Recognize various data personas utilizing the data catalog and develop persona-specific playbooks to encourage adoption. - Plan, implement, and supervise scalable data catalog and dictionary solutions using platforms such as Alation. - Comprehend leading Data Governance tools like Collibra and Purview. - Supervise the entire data catalog lifecycle, including setting metadata standards, developing initial MVPs, and executing large-scale enterprise rollouts. - Define architecture and best practices for metadata management to ensure catalog and dictionary consistency, scalability, and sustainability. - Identify and categorize critical data elements by documenting clear business terms, glossaries, KPIs, lineage, and persona-specific guides to construct a reliable data dictionary. - Establish and enforce policies to uphold metadata quality, regulate access, and safeguard sensitive information within the catalog. - Implement robust processes for catalog population through automated metadata ingestion, API utilization, glossary management, lineage tracking, and data classification. - Create a workflow management approach to notify stewards of changes to certified catalog content. - Develop reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams.,

Data Governance Architect,Alation,Azure cloud platforms,Snowflake platform metadata Management,Data Cataloging, Data Lineage or Data Quality,DAMA,DCAM,practical implementation,maturity assessments, gap analyses,Collibra, Purview