5.0 - 9.0 years

0 Lacs

noida, uttar pradesh

On-site

You will be responsible for leading the design and architecture of highly scalable, robust, and efficient data solutions utilizing Snowflake as the primary data platform. This includes developing and executing enterprise-level data architecture strategies, blueprints, and roadmaps aligned with business objectives. You will architect and manage data solutions, optimizing performance for complex analytical workloads and high-volume reporting requirements. Collaboration with cross-functional teams such as analytics, engineering, and business stakeholders is essential to deeply understand business needs and translate them into well-defined, robust data architectures and technical specifications. In the realm of data engineering and implementation, your role will involve designing, implementing, and optimizing end-to-end data pipelines, data warehouses, and data lakes to ensure efficient, reliable, and automated data ingestion, transformation (ELT/ETL), and loading processes into Snowflake. You will be required to develop and maintain advanced SQL queries, stored procedures, and data models within Snowflake for complex data manipulation and analysis while ensuring data quality, consistency, and integrity across all data solutions. Regarding data governance and security, you will develop and enforce best practices in data governance, data security, access control, auditing, and compliance within the cloud-based data environment, specifically Snowflake. This will involve implementing data masking, encryption, and other security measures to safeguard sensitive data. Furthermore, you will evaluate, recommend, and integrate third-party tools, technologies, and services to enhance the Snowflake ecosystem, optimize data workflows, and support the overall data strategy. Staying informed about new Snowflake features, industry trends, and data technologies is crucial, allowing you to recommend their adoption where beneficial. Your role will also encompass providing technical leadership and mentorship to data engineers and other team members, fostering a culture of best practices and continuous improvement. Effective communication and collaboration across global teams will be facilitated by you. To be successful in this role, you should possess 5-7+ years of progressive experience in data architecture and data engineering roles. You must have proven, in-depth hands-on experience as a data architect with extensive knowledge of Snowflake's architecture, features, and best practices. Exceptional proficiency in advanced SQL, strong experience in designing and implementing scalable data warehouses and data lakes, hands-on experience with ETL/ELT processes, and familiarity with cloud data platforms are essential skills. Strong analytical, problem-solving, critical thinking skills, excellent communication abilities, and the capacity to work independently in a remote setting are also required. A Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field is necessary, while a Master's degree is considered a plus. Candidates who can start immediately or with a short notice period are strongly preferred.,

Posted 3 days ago

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