Staff Engineer, Data & Analytics
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Job Summary
About Kinaxis
Are you looking to join an innovative market-leading company where you can truly elevate your career At Kinaxis we are serious about culture we are serious about technology we are serious about customers and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story then we might just be the place for you!
In 1984 we started out as a team of three engineers. Today we have grown to become a global organization with over 2000 employees around the world 6 global office and a best-in-class HQ in Ottawa Canada. As winners of several Top Employer awards globally we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
Kinaxis is a global leader in modern supply chain orchestration powering complex global supply chains and supporting the people who manage them. Our powerful AI infused platform provides full transparency and visibility across end-to-end supply chains enabling our customers to make faster better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate todays volatility and disruption. With more than 40000 users in over 100 countries we are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
Chennai India
About the team
The Data & Analytics team drives Kinaxis transformation into a data-driven organization. By designing modernizing and governing scalable data ecosystems we ensure reliable high-quality and accessible data that empowers decision-making across the company. Our work spans data engineering data integration governance observability cloud optimization and platform modernization.
As part of our expansion we are building stronger capabilities in two strategic areas: Migrations and Data Integrations. Migrations focuses on modernizing legacy data assets and platform capabilities into our modern cloud-native stack. Data Integrations focuses on building and evolving reliable application and platform integrations that connect enterprise systems to the broader data ecosystem.
What you will do
We are seeking a seasoned Staff Data Engineer to play a pivotal role in scaling Kinaxis Migrations and Data Integrations capabilities. This is a senior technical leadership role focused on defining the architecture patterns standards and reusable frameworks required to modernize legacy data assets and evolve enterprise integrations.
You will help establish a repeatable engineering capability to migrate pipelines transformations data models orchestration workflows observability patterns and reporting dependencies from legacy platforms such as Snowflake PostgreSQL SQL Server Airflow Grafana Informatica and related systems into the modern Kinaxis data stack built on Databricks GCP dbt Power BI and cloud-native orchestration and observability tooling.
You will also lead the design and evolution of Data Integrations including building new application-to-application connectors in MuleSoft and guiding the maintenance enhancement and selective migration of existing integrations currently implemented in Informatica.
This role requires strong technical depth architectural thinking and the ability to work cross-functionally with Engineering Architecture Governance Cloud Services and business stakeholders. Your work will directly support modernization reduce technical debt improve operational reliability and help establish a scalable engineering capability as the team expands.
Key responsibilities
Migrations leadership
- Define and evolve the technical architecture standards and delivery patterns for the Migrations function.
- Design reusable migration frameworks templates validation controls and automation accelerators to modernize legacy data assets into the Kinaxis modern data stack.
- Lead the migration of pipelines data transformations semantic models orchestration workflows observability/reporting dependencies and related assets from legacy platforms to cloud-native technologies.
- Establish robust validation reconciliation testing and cutover-readiness practices to ensure migrated assets are accurate reliable and production-ready.
- Identify opportunities to industrialize migration delivery through repeatable patterns tooling and engineering standards.
- Guide technical decision-making on refactor vs. rebuild approaches for legacy assets based on scalability maintainability performance and long-term platform fit.
Data Integrations leadership
- Define the target architecture engineering standards and reusable patterns for application-to-application and platform-to-platform integrations.
- Lead the design of new app-to-app connectors and integration services in MuleSoft.
- Establish the engineering approach for maintaining enhancing and selectively migrating existing integrations built in Informatica and Python.
- Design scalable integration patterns using APIs file-based exchanges orchestration workflows and batch or event-driven processing.
- Ensure integration solutions are resilient observable secure and supportable in production.
- Create reusable integration frameworks for testing monitoring reconciliation and error handling.
Platform engineering and delivery excellence
- Drive engineering best practices across CI/CD version control testing documentation deployment automation and operational support.
- Build and oversee scalable batch and stream-based pipelines for a range of platform and business use cases.
- Ensure strong data quality through validation cleansing lineage awareness and exception handling.
- Troubleshoot complex data engineering and integration challenges with a focus on performance reliability and scale.
- Stay current on relevant technology trends and best practices across data platforms integration tooling and cloud-native engineering.
Collaboration strategy and mentorship
- Partner with internal stakeholders across business units and technical teams to design and deliver modernization and integration solutions aligned to business priorities.
- Collaborate with peers specializing in FinOps Data Architecture Data Governance Cloud Engineering and Observability to solve cross-functional problems.
- Distill complex technical programs into actionable workstreams technical plans and delivery milestones.
- Provide strategic oversight for large-scale initiatives and help shape the technical direction of the team.
- Mentor and develop engineers helping establish strong technical foundations for the expanding India team.
- Communicate technical strategy modernization progress tradeoffs and risks clearly to stakeholders and leadership.
Technologies we use
- Visual Studio JIRA Confluence Git
- Python for core development
- SQL and dbt for data modeling and transformation
- FiveTran and dltHub for data ingestion
- Databricks and Google Cloud Platform for the modern data platform
- Power BI for reporting and analytics enablement
- MuleSoft and Informatica for integration engineering
- PostgreSQL SQL Server Snowflake and BigQuery as data stores and legacy/current platforms
- Apache Airflow Power BI Dataflows and GitHub Actions for orchestration and automation
- Datadog for observability
- Terraform and Ansible for infrastructure and configuration automation
- Microsoft Azure and GCP in parts of the broader ecosystem
What we are looking for
- 7 years of experience in data engineering analytics engineering integration engineering migration engineering software engineering or related fields.
- Deep hands-on experience with both legacy and modern data platforms with a strong track record of building scalable reliable solutions.
- Strong experience leading platform modernization efforts including migration of pipelines models workflows and reporting dependencies from legacy systems into modern cloud-native stacks.
- Strong hands-on expertise with technologies such as Databricks dbt GCP Snowflake PostgreSQL SQL Server Power BI Airflow and related data platform tools.
- Deep experience with enterprise integration tooling including MuleSoft for modern connector development and Informatica for legacy integration maintenance and modernization.
- Expert proficiency in software engineering principles including CI/CD Git RESTful APIs Python and SQL.
- Strong familiarity with observability tooling such as Datadog
- Experience designing validation reconciliation monitoring and error-handling frameworks for production data and integration systems.
- Strong problem-solving skills architectural judgment and a pragmatic approach to modernization.
- Proven ability to lead large initiatives influence technical direction and mentor engineers.
- Strong communication skills with the ability to explain technical plans tradeoffs and outcomes to varied audiences.
- Google Cloud Professional Data Engineer certification is a plus.
- Familiarity with Terraform Ansible and cloud cost optimization practices is a plus.
- Experience working in SaaS environments is a plus.
#Senior #LI-RJ1
Work With Impact: Our platform directly helps companies power the worlds supply chains. We see the results of what we do out in the world every day when we see store shelves stocked when medications are available for our loved ones and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin Unilever P&G ExxonMobil Cisco and more.
Social Responsibility at Kinaxis: Our Diversity Equity and Inclusion Committee weighs in on hiring practices talent assessment training materials and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and were committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and here are some of the perks and benefits we offer which may vary by location and employee:
- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs training and career development
- Recognition programs and referral rewards
- Hackathons
For more information visit the Kinaxis website at or the companys blog at .
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates including those with specific needs or disabilities. If you require an accommodation please reach out to us at This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education experience and skills most closely match the requirements of the role. After the initial screening all subsequent decisions regarding your application including final selection are made by our human recruitment team. AI does not make any final hiring decisions.
Required Experience:
Staff IC
About Company
Revolutionize supply chain management with Kinaxis. Get end-to-end transparency to make fast, collaborative decisions with the power of concurrency.
