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M3 - DataOps & Framework Engineering Lead Job Opening In Ciudad de México – Now Hiring Spin


Job description

M3 - DataOps & Framework Engineering Lead

M3 - DataOps & Framework Engineering Lead

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DataOps & Framework Engineering Lead

Data Engineering

Sr Data Engineer & Data Platform Manager

Objective of the Role
The

DataOps & Framework Engineering Lead
Job Family: Decision Sciences > Sub-family: Data Engineering
Reports to (role): Sr Data Engineer & Data Platform Manager
Objective of the Role
TheDataOps & Framework Engineering Lead is responsible for leading the DataOps Engineering Lead and Framework Team .

This role aims to set the technical and operational standards that ensure data pipelines, and the data framework are reliable, automated, observable, and scalable, thereby improving time to market.

Working primarily withDatabricks on AWS , and optionally integrating withGCP and Azure environments , you'll help build a platform that powers analytics, business intelligence, and AI use cases across the company.
Main Responsibilities

  • Lead and mentor Framework Engineering Team, fostering a culture of accountability, continuous improvement, and technical excellence.

  • Define and share the best practices for implement CI/CD pipelines and automation using tools such as GitHub Actions, and Terraform
  • Define and share Framework Architecture, and Data Contract especifications.

  • Design and implementing oversee observability standards: logging, monitoring, alerting, and retries across the entire pipeline lifecycle.

  • Ensure alignment between DataOps - Framework Teams and other technical chapters (Engineering, Platform, Architecture, Security) to support cross-domain pipelines.

  • Collaborate with business stakeholders and tech leads to proactively manage delivery plans, risks, and dependencies.

  • Act as the technical authority for incident response, root cause analysis, and resilience strategies in production environments.

  • Promote infrastructure as code (IaC) practices and drive automation across cloud environments.

  • Monitor resource usage and optimize cloud costs (Databricks clusters, compute, storage).

  • Facilitate team rituals (1:1s, planning, retros) and create career development opportunities for team members.

  • Promote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.

  • Serve as a Spin Culture Ambassador to foster and maintain a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.
Required Knowledge and Experience
  • Minimum 10+ years leading DataOps and Framework developers, or DevOps, with at least 5 years in a technical leadership role overseeing and mentoring, DevOps, DataOps, Data Engineers.

    Demonstrates experience in managing complex projects, coordinating team efforts, and ensuring alignment with organizational goals.

  • Advanced hands-on experience withDatabricks, including Unity Catalog, Delta Live Tables, Job orchestration, and monitoring.

  • Solid experience incloud platforms, especiallyAWS(S3, EC2, IAM, Glue).

  • Experience withCI/CD pipelines(GitHub Actions, GitLab CI), and orchestration frameworks (Airflow or similar).

  • Proficient inPython,SQL, and scripting for automation and data operations.

  • Strong understanding of data pipeline architectures across batch, streaming, and real-time use cases.

  • Technical Skills: Proficiency in DevOps tools and technologies such as Jenkins, Docker, Kubernetes, Terraform, Ansible, and cloud platforms (e.g. Databricks, AWS, Azure, GCP).

  • Soft Skills: Strong leadership, communication, and collaboration skills.

    Excellent problem-solving abilities and a proactive approach to learning and innovation.

  • Experience implementing monitoring and data quality checks.

  • Effective communicator who can bridge technical and business needs.

  • Preferred Qualifications:
  • Experience with microservices architecture and containerization technologies.

  • Familiarity with ITIL or other IT service management frameworks.

  • Certification in cloud platforms or DevOps practices.

  • Experience working withGoogle Cloud Platform (GCP)services such as BigQuery, Cloud Functions, Pub/Sub, or Composer.

  • Fluent English
Spin está comprometida con un lugar de trabajo diverso e inclusivo.
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida.
Si desea solicitar una adaptación, notifique a su Reclutador.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

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Required Skill Profession

Ingeniería Económica Y Gestión


  • Job Details

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Unlock Your M3 DataOps Potential: Insight & Career Growth Guide


Real-time M3 DataOps Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for M3 DataOps in Ciudad de México, Mexico, highlighting market share and opportunities for professionals in M3 DataOps roles.

19 Jobs in Mexico
19
5 Jobs in Ciudad De México
5
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Are You Looking for M3 DataOps & Framework Engineering Lead Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Spin adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Mexico laws and regulations

What Is the Average Salary Range for M3 DataOps & Framework Engineering Lead Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Ciudad de México. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for M3 DataOps & Framework Engineering Lead?

Key qualifications for M3 DataOps & Framework Engineering Lead typically include Ingeniería Económica Y Gestión and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for M3 DataOps & Framework Engineering Lead Job Success

Spin interview tips for M3   DataOps & Framework Engineering Lead

Here are some tips to help you prepare for and ace your M3 DataOps & Framework Engineering Lead job interview:

Before the Interview:

Research: Learn about the Spin's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your M3 DataOps & Framework Engineering Lead interview at Spin, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Spin's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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