Principal Data Engineer

Role Overview: As a Principal Data Engineer at The Modern Data Company, you will be a part of the Solution Engineering team, focusing on designing and delivering impactful data solutions to support sales, product, and customer success. In this role, you will play a key role in building contextual data demos, proof-of-value pipelines, and production-aligned data solutions, showcasing the strength of the platform and driving enterprise adoption. Your expertise in distributed systems, data governance, and cloud-native data platforms will be instrumental in creating scalable and high-impact technical assets. Key Responsibilities: - Collaborate closely with Sales teams in APAC and EU regions to understand prospect needs, existing data infrastructure, and pain points. Customize and deliver product demos that directly address the prospects" real-world challenges. - Act as a technical authority during enterprise sales engagements by validating solutions, customizing demos, and ensuring alignment with the customers" ecosystem. - Stay updated on competing platforms and technologies. Assist in creating technical comparison matrices and value differentiation frameworks to support sales and product positioning. - Provide feedback to Product Management based on firsthand interactions with prospects, suggesting platform enhancements and feature requests. - Develop demos simulating customer data environments, highlighting critical product capabilities such as data quality monitoring, lineage tracking, and analytical insights. - Lead the development of demo frameworks and domain-specific use cases for key verticals like BFSI, manufacturing, and retail. - Offer architectural mentorship and technical oversight to junior data engineers, promoting a culture of learning and innovation within the Solution Engineering team. Qualification Required: Must-Haves: - 10-15 years of experience. - Customer-facing experience in enterprise environments. - Deep knowledge of distributed data systems, data lineage, data quality, governance, and transformation. - Proficiency in Python, SQL, Spark, and data. - Hands-on experience with major cloud platforms (AWS, Azure, or GCP). - Experience in building, deploying, and managing data pipelines using modern data stack tools. - Strong communication skills and ability to translate customer expectations into technical narratives. - Comfort with demo storytelling, executive presentations, and collaboration with sales and product teams. Preferred: - Familiarity with Data-as-a-Product, Data Mesh, or Data Fabric concepts. - Knowledge of data governance, security, and regulatory compliance frameworks. - Exposure to AI/ML enablement and advanced analytics pipelines.,