Job description
Requirements: 1. Cloud & Data Platform Skills: • Good hands-on experience with cloud technologies, with AWS/GCP/Azure. • Solid understanding of modern data platform architectures, including data lakes and analytical data platforms. • Experience working in multi-cloud environments is an added advantage. 2. Snowflake & Data Engineering: • Advanced expertise in Snowflake including platform-level design and implementation. • Hands-on experience with Snowflake features such as: 1. Snowpipe, Streams, Tasks 2. Performance tuning and query optimization 3. Security and role-based access control • Strong experience in building end-to-end data pipelines covering ingestion, transformation, storage, and consumption layers. 3. Data Ingestion & BI / Consumption Layer: • Experience with data ingestion tools and frameworks to integrate data from multiple sources. • Strong understanding of BI / analytics consumption layers (e.g., Power BI or equivalent). • Ability to design analytics-ready, curated datasets for reporting and insights. 4. GenAI & AI Enablement: • Experience in integrating LLMs with enterprise data platforms. • Hands-on exposure to GenAI-enabled data solutions, including: 1. Retrieval-Augmented Generation (RAG) patterns 2. Secure data access for AI use cases • Focus on AI use‑case enablement rather than model training. 5. DevOps, Security & Governance • Experience implementing CI/CD pipelines for data engineering workloads. • Strong understanding of data security, data quality, and governance practices. • Knowledge of version control systems and collaborative development workflows. Soft Skills: 1. Problem-Solving Skills: Ability to analyze complex data and platform challenges and propose practical, scalable solutions. 2. Communication Skills: Clear and effective communication with technical teams, business stakeholders, and product owners. 3. Collaboration: Ability to work effectively with cross-functional teams including data engineers, analysts, AI teams, and business users. 4. Adaptability: Willingness to learn new tools, technologies, and patterns in the evolving data and AI ecosystem. What are my responsibilities? We are seeking a skilled and motivated Associate Data Platform Architect to join our Digitalization Projects team. In this role, you will be responsible for hands-on data engineering while contributing to data architecture and platform design initiatives. ? Design, build, and maintain end-to-end data pipelines on cloud-based data platforms. ? Develop and enhance Snowflake-based analytical solutions ensuring performance, scalability, and security. ? Implement data ingestion, transformation, and orchestration pipelines across multiple sources. ? Contribute data platform architecture decisions and follow established design standards. ? Enable GenAI-driven use cases by integrating LLMs with enterprise data platforms. ? Design secure and scalable data access patterns for AI and analytics consumption. ? Collaborate closely with business and product owners to understand requirements and translate them into technical solutions. ? Ensure data quality, reliability, and governance across pipelines and platforms. ? Implement and maintain CI/CD pipelines for data engineering assets. ? Participate in design reviews, code reviews, and technical discussions. ? Stay updated with emerging trends in data platforms, Snowflake features, cloud services, and GenAI technologies. Required Skills and Experience ? B.E. / B.Tech / MCA / M.Tech (Computer Science, Electronics, Electrical or related discipline). ? 8+ years of overall IT experience with strong focus on data engineering and data platforms, and minimum of 2+ years as Data Platform Architect. ? Proven hands-on experience with Snowflake and modern data platform implementations. ? Strong experience with cloud technologies, like AWS/GCP/Azure. ? Experience in building enterprise-scale data pipelines and analytical data solutions. ? Exposure to GenAI integrations with data platforms. ? Experience working directly with business and product stakeholders. ? Strong understanding of data security, data quality, and governance principles. ? Knowledge of CI/CD, version control, and DevOps practices for data platforms. ? Excellent problem-solving and analytical skills. ? Strong communication, collaboration, and stakeholder management capabilities. ? Ability to work in a fast-paced, product-oriented environment. Your opportunities for personal growth Your recognition will be global since you will be working on projects that have a global impact alongside BU. You will be provided an atmosphere to learn & develop your skills in various dimensions & technologies. Let’s Talk About Us "Let’s make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future. We are a newly formed Digitalization Projects group (DPO) under Siemens Energy (SE) India, a part of a 70,000 global strong Siemens Energy team. SE is a Company that operates in several countries and has seventy thousand plus employees along with highly valued consumers and highly devoted vendors. DPO is an in-house department to support, develops, and executes Digitalization projects across businesses. MORE INSIGHTS Be Energized. Be you. Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and compassion. Our combined creative energy is fueled by at least 130 nationalities. Siemens Energy celebrates character, regardless of ethnic background, gender, age, religion, identity, or disability. We energize society. All of society. Jobs & Careers: https://www.siemens-energy.com/global/en/company/jobs.html
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