Okta
About this role
This is the most senior data seat Okta has open in India, and the remit is the technical strategy for
the internal data platform that feeds the company's AI use cases with AI ready data. You own the
"how": the architecture, the implementation and the scalability that turns a data product roadmap
into something real, plus the technical standards for engineering quality, security and governance.
It sits inside Enterprise Data Platform and reports to a Senior Manager, so it is a technical
authority role rather than a management one. The requirement is 10+ years of data engineering with at
least 5 of those architecting data platforms for data products, analytics or AI driven products.
Apply if you have built a platform other teams depend on and can defend the design decisions behind
it, including the governance ones.
the internal data platform that feeds the company's AI use cases with AI ready data. You own the
"how": the architecture, the implementation and the scalability that turns a data product roadmap
into something real, plus the technical standards for engineering quality, security and governance.
It sits inside Enterprise Data Platform and reports to a Senior Manager, so it is a technical
authority role rather than a management one. The requirement is 10+ years of data engineering with at
least 5 of those architecting data platforms for data products, analytics or AI driven products.
Apply if you have built a platform other teams depend on and can defend the design decisions behind
it, including the governance ones.
Who this is for
Requirements. 10+ years of data engineering experience, with at least 5 years focused on architecting
data platforms for data products, analytics or AI driven products. Expert level understanding of data
pipeline and orchestration tooling, with dbt, Airflow, Fivetran and Terraform named specifically.
Experience with high compliance and high security regulated environments is listed as a plus.
The remit. Okta describes this as the technical visionary role for its internal data platform
supporting internal AI use cases with AI ready data. You are responsible for turning the data product
vision into a secure, scalable and elegant technical reality, owning the technical strategy,
implementation and scalability that brings the AI and data product roadmap to life. You own the
technical standards for engineering excellence, security and governance so the core data platform is
trusted and ready to power AI powered products and decision making across Okta. The posting frames it
as balancing today's execution against building a durable foundation.
Reporting line. The Senior Manager of Enterprise Data Platform.
Location. Bengaluru, and the city is in the job title itself.
⚠️ Board metadata to ignore. Several Okta postings, including some in this edition, publish "Minimum
Work Experience: 0.0" and "Maximum Work Experience: 0.0" in their Greenhouse metadata. Read as
structured data that would say no experience is needed; it is an unfilled placeholder. The 10 year figure above is from the
requirement list in the posting body, which is the only source we trust for years.
Who this is for. A principal or staff level data engineer with a decade in, at least half of it
architecting platforms rather than building pipelines on someone else's. The governance and security
emphasis is heavy, which suits someone who has worked under real compliance constraints. If you want
to lead a team, note this is framed as technical ownership: the leadership is over standards and
architecture, not headcount.
data platforms for data products, analytics or AI driven products. Expert level understanding of data
pipeline and orchestration tooling, with dbt, Airflow, Fivetran and Terraform named specifically.
Experience with high compliance and high security regulated environments is listed as a plus.
The remit. Okta describes this as the technical visionary role for its internal data platform
supporting internal AI use cases with AI ready data. You are responsible for turning the data product
vision into a secure, scalable and elegant technical reality, owning the technical strategy,
implementation and scalability that brings the AI and data product roadmap to life. You own the
technical standards for engineering excellence, security and governance so the core data platform is
trusted and ready to power AI powered products and decision making across Okta. The posting frames it
as balancing today's execution against building a durable foundation.
Reporting line. The Senior Manager of Enterprise Data Platform.
Location. Bengaluru, and the city is in the job title itself.
⚠️ Board metadata to ignore. Several Okta postings, including some in this edition, publish "Minimum
Work Experience: 0.0" and "Maximum Work Experience: 0.0" in their Greenhouse metadata. Read as
structured data that would say no experience is needed; it is an unfilled placeholder. The 10 year figure above is from the
requirement list in the posting body, which is the only source we trust for years.
Who this is for. A principal or staff level data engineer with a decade in, at least half of it
architecting platforms rather than building pipelines on someone else's. The governance and security
emphasis is heavy, which suits someone who has worked under real compliance constraints. If you want
to lead a team, note this is framed as technical ownership: the leadership is over standards and
architecture, not headcount.
Apply on company site
Opens www.okta.com, the employer's own application page. Applying is always free.