Why should I tailor my CV to every job application?

Every role has different priorities, requirements, and keywords. Tailoring your CV highlights the experience most relevant to a specific position, helps it perform better in applicant tracking systems (ATS), and makes it easier for recruiters to see why you’re a strong match.

Can I optimize my CV myself without CVZilla?

Absolutely. However, doing it properly can take 20–40 minutes for each application. You need to identify the most relevant experience, select the right keywords and phrases, and present your real achievements in a way that aligns with the role-without exaggerating or inventing anything. Our optimizer helps you do this faster while keeping your CV accurate and authentic.

I found a job on another website. Can I optimize my CV for it?

Yes, you can create an optimized version of your CV for any job from any website. Just paste the job link or description on the Tailor My CV page.

How can I see the company name and the link to the original job posting?

Upgrade to PRO to unlock the company name and access the original job posting.

DataOps Team Lead

·Israel

Not specifiedFull-timeData EngineeringBankingTechnologyInformation and MediaSoftware Development

Experienced DataOps Team Lead to manage data platform operations, lead a DevOps team, ensure system stability, drive automation and monitoring, and lead cloud transformation to GCP. Requires 3+ years managing Data Operations/DevOps and hands-on experience with enterprise ETL and BI tools.

Responsibilities

Lead and manage a DataOps & DevOps team, including mentoring, task allocation, and goal setting.
Own end-to-end availability, stability, and performance of on-prem data systems.
Operate and maintain ETL processes using IBM DataStage and Control-M scheduling.
Administer BI tools including SAP BO and Pyramid Analytics, handling servers, upgrades, permissions, and performance.
Handle operational DBA tasks and perform incident management with root cause analysis.
Build and maintain CI/CD pipelines for data pipelines, cloud infrastructure, and deployment scenarios.
Establish proactive monitoring and alerting from scratch to detect issues before business impact.
Introduce modern technologies and automation to reduce manual work.
Lead cloud transformation to GCP, taking ownership of data environments and ensuring FinOps and security.
Collaborate with Data Engineering, AI Engineering, Full-Stack, and GCP teams for production deployments.
Support governance and information security processes including permissions, controls, and configuration management.
Work with vendors, software providers, and cross-organizational technology teams.

Requirements

3+ years of experience managing Data Operations/DevOps teams.
Excellent operational experience with data systems (ETL, DWH, BI, scheduling, monitoring).
Proven experience with enterprise ETL tools such as DataStage, Informatica, and scheduling systems like Control-M (mandatory).
Good familiarity with administrative management of BI tools such as Tableau, PowerBI, BO, Pyramid.
Understanding of operating systems (Linux/Windows) and infrastructure.

Nice to have

Significant experience with cloud platforms (GCP/AWS/Azure) and managed services.
Experience with modern monitoring tools (Grafana, Prometheus, Datadog).
Familiarity with Big Data technologies (Spark, Kafka).
Background as infrastructure or application DBA.

DataOps Team Lead

Responsibilities

Requirements

Nice to have

Relevance

Similar jobs

Frequently asked questions