Purpose of the Position: Senior Data Engineer to help design and implement cloud services for their Data Science platform, ensuring a streamlined experience for data scientists and engineers. This position demands technical expertise, and hands-on leadership to drive innovation in enterprise-scale data infrastructure. Collaboration with Applied Scientists, Knowledge Engineers within the Data Governance Team, and Data Engineering in the AI Platform team is essential. Additionally, the Senior Engineer will work closely with InfoSec and Security teams to ensure secure and seamless integration and coordinate with engineering leadership to manage technical risk and deliver critical features on time. Accelerate the development and fine-tuning of Agentic AI models to improve their capabilities and performance. In parallel, implement vertical benchmarking programs like EDGE to create strict evaluation criteria and enable comparison of various AI models and applications. Empower PXE Engineers to increase AI productivity and act as a force multiplier At Infocepts, you’ll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission – transforming our customers' journey with data-driven modernization. • Infocepts has been recognized as Gartner Peer Insights ™ Customers' Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem. • We are certified by Great Place to Work®, India in 2021 & 2022 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry. • Our award-winning reusable solutions approach is well recognized in the D&A industry and lets our associates leverage our collective and proven consultative expertise, accelerate solution delivery through automation, enable faster time to value with reusable toolkits – all while delivering exceptional customer experience. Our success has been unique, and we are looking for professionals who are enthusiastic and passionate about data & analytics, delivering differentiated experiences, and solving real world problems for our global customers. 1. Basic Details Location: North America (Seattle) Travel: NA 1. Key Result Areas and Activities: • Seeking a Data Engineer with 10+ years of hands-on data architecture experience designing and managing large-scale data lakes and warehouses. • Solid understanding and hands-on experience with Apache Iceberg and AWS Glue • Deep experience with AWS systems like Lakeformation, IAM and Redshift. • Proficiency in Python, Scala, or Java for ETL and custom tooling is essential. • Proven expertise in complex schema and ERD design, maintaining data dictionaries, and developing real-time/batch data pipelines using tools like Kafka, Spark, or similar. • AI/ML integration familiarity, leadership abilities, and strong problem-solving skills 1. Work and Technical Experience: Essential Skills: • Big Data Technologies • AWS experience AWS Glue, Redshift, SageMaker • Databricks • Snowflake • Building large pipelines • Experience in data and ML lifecycle • Include architectural leadership, data modeling, building real-time data pipelines, implementing data governance, optimizing performance, and enabling AI/ML workflows. Desirable Skills: • Data Governance: Hands-on experience with implementing data governance frameworks, compliance, and security standards. • Leadership: Demonstrated ability to lead teams, mentor junior engineers, and work in cross-functional environments. • Experience with vector databases/RAG, petabyte-scale data, advanced analytics tools, and industry experience in AI/ML, SaaS, or cloud technology 1. Qualifications: • 6-8 years as Data Engineer • Bachelor’s degree in computer science, software engineering, or related field (Master's degree is a plus) • Demonstrates continued learning through one or more technical certifications or related methods 1. Qualities: • Self-motivated and focused on delivering outcomes for a fast-growing team and firm • Able to communicate persuasively through speaking, writing, and client presentations • Work independently based on the mentorship provided by managers • Demonstrates problem solving, multi-tasking, troubleshooting skills with a high degree of flexibility • Able to work with teams and clients in different time zones • Proven learning agility as technologies and capabilities evolve rapidly • Strong analytical, troubleshooting, and problem-solving skills. Research focused mindset Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience and may fall outside the mentioned ranges.