Join our India Tech Hub Be among the first hires!
Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world s most recognized brands while working alongside some of the best and brightest in loyalty.
About the team and what we will build together
We find actionable insights in our clients loyalty data that helps drive enterprise value. We create real-time dashboards to inform internal and external stakeholders.
As a Senior Data Engineer at Kobie, you will play a leading role within our data engineering team, partnering closely with the Manager of Data Engineering and the broader data organization. You will own the design and evolution of data pipelines and architectures that power Kobie s products. Your deep expertise in data modeling, architecture, and scalable system design will help shape best practices across multiple Snowflake environments. You will guide Data Engineers through implementation while ensuring our data platform is secure, performant, and ready for growth.
How you will make an impact
- Lead the design and implementation of scalable, reusable ETL/ELT frameworks and data pipelines across multiple client environments.
- Define and enforce engineering best practices for data modeling, quality assurance, and performance optimization.
- Mentor and support Data Engineers, conducting peer reviews and ensuring alignment with architectural standards.
- Oversee the operational stability of production data pipelines, including monitoring, troubleshooting, and capacity planning.
- Partner with data architects and product teams to design end-to-end data solutions aligned to business goals.
- Conduct source data analysis and profiling to guide schema and model design decisions.
- Implement and optimize data models including slowly changing dimensions, transactional, accumulating snapshot, and periodic snapshot fact tables.
- Collaborate with platform engineers to evolve event-driven and streaming architectures supporting real-time analytics.
- Drive automation initiatives for testing, auditing, and metadata capture to ensure transparency and reproducibility
What you need to be successful
- 5 7 years of Data Engineering experience, with at least 3 years operating in Snowflake.
- Proven success designing and deploying large-scale data pipelines and dimensional models using modern cloud data platforms.
- Deep understanding of Kimball and Data Vault methodologies, and how they integrate within Lakehouse and event-driven architectures.
- Advanced proficiency with SQL and Python for pipeline development, data validation, and automation.
- Experience leading data engineering projects through the full SDLC, from requirements through deployment and monitoring. Expertise in integrating batch and streaming data sources, including Kafka, APIs, and message queues.
- Experience with orchestration and workflow management tools such as Airflow, Matillion or dbt.
- Cloud experience with Azure and/or AWS, including cost optimization and data security best practices.
- Strong communication and leadership skills to guide cross-functional teams and present technical concepts clearly to non-technical stakeholders.
- Value-add: familiarity with vector and graph databases, Apache NiFi, and modern data sharing or clean-room technologies.
About Kobie
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We re always looking for talented individuals ready to join a collaborative, growth-focused culture.
As a trusted partner to some of the world s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level.As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.
We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.
Giving back is in our DNA at Kobie,through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.
To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays,offering flexible time off, and prioritizing work-life balance.
As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates aspace for collaboration and fostering connection.
Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
