Is the Data Engineering Manager role remote?

It's hybrid — Okta expects some on-site time in Bengaluru, India.

How much experience is required?

At least 8 years of relevant experience for this Data Engineering Manager role.

Where is the role based?

Okta is hiring for this position in Bengaluru, India.

What's the tech stack?

Joblaze extracted these technologies from the posting: Snowflake, Redshift, ETL, Jira, Airflow, SQL.

What seniority level is this role?

Okta targets lead candidates for this position.

Is this full-time or contract?

Full-time for this Data Engineering Manager role at Okta.

Data Engineering Manager at Okta

Joblaze summary

In the role of Data Engineering Manager at Okta, the individual will lead a team of data engineers, focusing on developing scalable data pipelines and infrastructure while ensuring adherence to best practices. Key skills include expertise in SQL, ETL tools, and project management software like Jira, alongside a strong background in data lifecycle management. This position is suited for experienced professionals with at least eight years in data engineering and a proven track record in team leadership. The role emphasizes collaboration across various departments to drive business transformation through actionable insights.

Joblaze insights

Listed yesterday on Joblaze — tracked directly from Okta's career page.
Okta has 372 other open roles including Principal Business Application Developer, Director of Engineering, Developer Integrations (Auth0), Data Quality Analyst II.
1065 active SQL roles on Joblaze right now.
159 active Snowflake roles on Joblaze right now.
117 active Jira roles on Joblaze right now.

Quick facts

Is the Data Engineering Manager role remote?: It's hybrid — Okta expects some on-site time in Bengaluru, India.
How much experience is required?: At least 8 years of relevant experience for this Data Engineering Manager role.
Where is the role based?: Okta is hiring for this position in Bengaluru, India.
What's the tech stack?: Joblaze extracted these technologies from the posting: Snowflake, Redshift, ETL, Jira, Airflow, SQL.
What seniority level is this role?: Okta targets lead candidates for this position.
Is this full-time or contract?: Full-time for this Data Engineering Manager role at Okta.

From the original posting

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Data & Insights Team

Our focus is on building platforms, capabilities, and insights that are utilized across the organization by sales, marketing, engineering, finance, product, and operations. The ideal candidate will have a strong data and development background with the ability to tie data engineering and analytics initiatives to business impact.

You will be part of a team that empowers the enterprise with trusted, timely, and actionable insights to drive business transformation and customer value.

What you’ll be doing

Team Leadership & Development

Lead, mentor, and coach a team of data engineers, cultivating a culture of ownership, accountability, and continuous improvement.
Conduct regular one-on-one meetings, performance reviews, and career development discussions with team members.
Drive recruiting and hiring efforts to build and maintain a high-performing engineering team.
Report on team progress, challenges, and technical roadmaps to the U.S. based manager.

Technical Execution & Guidance

Provide clear technical guidance and direction, ensuring the team adheres to best practices in data engineering, testing, and deployment.
Act as a hands-on data engineering contributor, directly involved in the design, development, and maintenance of scalable data pipelines and infrastructure.
Participate in architectural reviews and technical design discussions, making sound and timely technical decisions.
Ensure the team maintains rigorous standards for code quality, system performance, and reliability across all systems.
Optimize the Software Development Lifecycle (SDLC) and deployment processes to enhance efficiency and speed of delivery.

Project & Operational Management

Manage project timelines, resource allocation, and deliverables utilizing project management tracking software (e.g., Jira).
Anticipate, identify, and proactively mitigate risks and issues that could impact project timelines or team performance.
Drive seamless cross-functional collaboration with other engineering teams, QA, and operations to ensure smooth product integration and release.
Collaborate closely with Product Management and other key stakeholders to define the team's technical roadmap and strategic vision.

Support Management

Manage support request triage for L1-L3 support and ensure timely prioritization and resolution.
Own global support process and operations - weekly on-call rotation, responding and troubleshooting, and resolving critical incidents and production issues - partnering with engineering and analytics management for implementation and process improvements.
Ensure the global support process is adhered to by both direct staff and across the organization.

What you’ll bring to the role

Required Qualifications & Experience:

Education: BS in Computer Science, Engineering, or a related quantitative field.
Engineering & Leadership: 8+ years of experience in data engineering and/or software development, including 2+ years in a formal people management role.
Team Management: Proven ability to lead and mentor a team of 4 or more engineers.

Support Management: Experience managing a global support process across multiple teams and timezones

Technical Expertise:

Data Lifecycle Mastery: Demonstrated understanding of the full lifecycle for data assets, encompassing the building, development, and maintenance of data models, reporting systems, data automation, dashboards, and performance metrics crucial for driving key business decisions.
Problem Solving: Ability to design and implement robust technical processes to effectively solve business problems.
Database Skills: Proficiency in Relational Database design, implementation, querying, and reporting (DDL, SQL).
Data Tools: 3+ years of practical experience with SQL and ETL tools (e.g., Airflow), and working with relational and columnar MPP databases (e.g., Snowflake, Athena, or Redshift).
Project Management: Proven expertise in using Jira or similar project management and issue-tracking software for managing engineering workflows, sprints, and issues.

Communication & Interpersonal Skills:

Excellent oral and written communication skills are essential for engaging effectively with both technical and non-technical audiences, alongside strong interpersonal and negotiation abilities.

And extra credit if you have experience in any of the following!

Experience in an agile development environment (Scrum, Kanban).
Familiarity with DevOps practices and CI/CD pipelines.
Experience with the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
Experience with cloud infrastructure/platforms (AWS, Azure, Google Cloud Platform) and Data Lake development
Experience with data quality and observability tools (Monte Carlo, Soda, dbt)
Experience with data cataloging tools (data.world, Alation, Atlan)

#hybrid role (Bengaluru)
#P21926_3336591

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Data Engineering Manager

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