Data Platform Engineer

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Degrees in STEM

15 years full time education

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