Senior data architect

Info Cepts is a global leader of end-to-end data and analytics solutions with nearly 20 years’ experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, Info Cepts operates with the scale of a global consulting firm, yet the expertise of a niche partner.. Info Cepts has been recognized as Gartner Peer Insights TM Customers' Choice for two consecutive years in 2022 and 2023 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 2023 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry 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. Purpose: Design and optimize cloud-native data architectures on platforms like Databricks and Snowflake, enabling scalable data engineering, advanced analytics, and AI/ML solutions aligned with business needs.. Key Result Areas and Activities: Design and implement Lakehouse architectures using Databricks, Delta Lake, and Apache Spark. Lead the development of data pipelines, ETL/ELT processes, and data integration strategies. Collaborate with business and technical teams to define data architecture standards, governance, and security models. Optimize performance and cost-efficiency of Databricks clusters and jobs. Provide technical leadership and mentorship to data engineers and developers. Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and enterprise systems. Evaluate and recommend tools and technologies to enhance the data ecosystem. Ensure compliance with data privacy and regulatory requirements. Contribute to proposal and pre sales activities Roles & Responsibilities Essential Skills: Expertise in data engineering, data architecture, or analytics. Hands-on experience on Databricks and Apache Spark. Hands-on experience on Snowflake Strong proficiency in Python, SQL, and Py Spark. Deep understanding of Delta Lake, Lakehouse architecture, and data mesh principles. Deep understanding of Data Governance and Unity Catalog. Experience with cloud platforms (Azure preferred, AWS or GCP acceptable). Desirable Skills Good understanding of the CI/CD pipeline Working experience with Git Hub Experience in providing data engineering solutions while maintaining balance between architecture requirements, required efforts and customer specific needs in other tools Qualifications: Bachelor’s degree in computer science, engineering, or related field Demonstrated continued learning through one or more technical certifications or related methods Over 10+ years of relevant experience in ETL tools  Relevant experience in Retail domain 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 Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset " Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."