• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
India Jobs Expertini

Senior Data Platform Engineer (AWS & Databricks) Job Opening In Bengaluru – Now Hiring GoTo


Job description

Job Description

Where you’ll work:  Remote / India

  

Engineering at GoTo

We’re trailblazers in remote work technology—building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond.

With us, you’ll have the opportunity to chart new paths and help redefine how the world works.

For us, AI isn’t just a buzzword; it’s a tool we use to deliver real, practical value to our customers and teams.

We focus on solving meaningful problems, not just adding features for the sake of using AI.

Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas.

Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide—your work will truly make a difference

Your Day to Day

As a Senior Data Platform Engineer, you would be:

  • Design, build, and operate the core data platform infrastructure on AWS and Databricks.

  • Implement and maintain infrastructure as code (Terraform, CloudFormation, or similar).

  • Manage networking, security, access controls, encryption, and cost controls for data workloads.

  • Optimize Databricks clusters, job schedules, Delta Lake storage, and data pipelines for performance and cost.

  • Build and maintain CI/CD for platform components and data workloads.
    Define and enforce platform best practices, runbooks, and SLAs.

  • Mentor and coach engineers provide technical leadership for cross-team projects.

  • Collaborate with product, data engineering, and security to prioritize platform work and roadmap.

  • Evaluate and introduce tools/automation to reduce toil and improve reliability.

What We’re Looking For

As a Senior Data Platform Engineer, your background will look like

  • 5+ years of hands-on experience building and operating data platforms, cloud infrastructure, or related systems.

  • Strong AWS experience (EC2, EMR, S3, IAM, VPC, EKS, Lambda, Kinesis, CloudWatch).

  • Experience in networking, security, and cost optimization.

  • Significant production experience with Databricks (cluster tuning, jobs, Delta Lake, Unity Catalog or governance features).

  • Experience with infrastructure as code (Terraform preferred).

  • Experience in Python, SQL, and shell scripting.

    Familiarity with Spark internals is a plus.

  • Experience with Kubernetes/EKS, Helm, and containerized data workloads.

  • Familiarity with Airflow, or other orchestration tools.

  • Observability tooling experience (CloudWatch, Prometheus, Grafana, Open Telemetry).

  • Experience with CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps).
    Good written and verbal communication; able to document designs and mentor others.

What We Offer

At GoTo, we believe in supporting our employees with a comprehensive range of benefits designed to fit your life—at work and beyond.

Here are just some of the benefits and perks you can expect when you join our team:

  • Comprehensive health benefits, life and disability insurance, and fertility and family-forming support program

  • Generous paid time off, paid holidays, volunteer time off, and quarterly self-care days and no meeting days

  • Tuition and reading reimbursement programs to support your continuous learning and professional growth

  • Thrive Global Wellness Program, confidential Employee Assistance Program (EAP), as well as One to One Wellness Coaching

  • Employee programs—including Employee Resource Groups (ERGs), GoTo Gives, and our charitable matching program—to amplify your connection and impact

  • Registered Retirement Savings Plan (RRSP) to help you plan for your future

  • GoTo performance bonus program to celebrate your impact and contributions

  • Monthly remote work stipend to support your home office expenses.

At GoTo, you’ll find the flexibility, resources, and support you need to thrive—at work, at home, and everywhere in between.

You’ll work towards a shared goal with an open-minded, cohesive team that’s greater than the sum of its parts.

We’re committed to creating an inclusive space for everyone, because we know unique perspectives make us a stronger company and community.

Join us and be part of a company that invests in your future, where together we’ll Be Real, Think Big, Move Fast, Keep Growing, and stay Customer Obsessed

Required Skill Profession

Computer Occupations


  • Job Details

Related Jobs

Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Bhubaneswar, Odisha, India
Accolade
Bhubaneswar, Odisha, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Kakinada Port, Andhra Pradesh, India
Accolade
Kakinada Port, Andhra Pradesh, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Junagadh, Gujarat, India
Accolade
Junagadh, Gujarat, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Chennai, Tamil Nadu, India
Accolade
Chennai, Tamil Nadu, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in New Delhi, Delhi, India
Accolade
New Delhi, Delhi, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Bengaluru, Karnataka, India
Accolade
Bengaluru, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Thiruvananthapuram, Kerala, India
Accolade
Thiruvananthapuram, Kerala, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Belgaum, Karnataka, India
Accolade
Belgaum, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Kollam, Kerala, India
Accolade
Kollam, Kerala, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Vapi, Gujarat, India
Accolade
Vapi, Gujarat, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Pushkar, Rajasthan, India
Accolade
Pushkar, Rajasthan, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Kozhikode, Kerala, India
Accolade
Kozhikode, Kerala, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Bhubaneshwar, Odisha, India
Accolade
Bhubaneshwar, Odisha, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Coimbatore, Tamil Nadu, India
Accolade
Coimbatore, Tamil Nadu, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Kota, Rajasthan, India
Accolade
Kota, Rajasthan, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Secunderabad, Telangana, India
Accolade
Secunderabad, Telangana, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Tiruchirappalli, Tamil Nadu, India
Accolade
Tiruchirappalli, Tamil Nadu, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Belagavi, Karnataka, India
Accolade
Belagavi, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Junagadh, Gujarat, India
Accolade
Junagadh, Gujarat, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Tirupati, Andhra Pradesh, India
Accolade
Tirupati, Andhra Pradesh, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Erode, Tamil Nadu, India
Accolade
Erode, Tamil Nadu, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Hyderabad, Telangana, India
Accolade
Hyderabad, Telangana, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Dehradun, Uttarakhand, India
Accolade
Dehradun, Uttarakhand, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Bhubaneswar, Odisha, India
Accolade
Bhubaneswar, Odisha, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Shivamogga, Karnataka, India
Accolade
Shivamogga, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Nagpur, Maharashtra, India
Accolade
Nagpur, Maharashtra, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Hubballi-Dharwad, Karnataka, India
Accolade
Hubballi-Dharwad, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Mumbai, Maharashtra, India
Accolade
Mumbai, Maharashtra, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Srikakulam, Andhra Pradesh, India
Accolade
Srikakulam, Andhra Pradesh, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Belagavi, Karnataka, India
Accolade
Belagavi, Karnataka, India
Accolade hiring Senior Data Engineer (AWS/Databricks) Job in Ajit, Rajasthan, India
Accolade
Ajit, Rajasthan, India

Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data 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 Senior Data in Bengaluru, India, highlighting market share and opportunities for professionals in Senior Data roles.

514387 Jobs in India
514387
36207 Jobs in Bengaluru
36207
Download Senior Data Jobs Trends in Bengaluru and India

Are You Looking for Senior Data Platform Engineer (AWS & Databricks) Job?

Great news! is currently hiring and seeking a Senior Data Platform Engineer (AWS & Databricks) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 GoTo 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 India laws and regulations

What Is the Average Salary Range for Senior Data Platform Engineer (AWS & Databricks) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Senior Data Platform Engineer (AWS & Databricks)?

Key qualifications for Senior Data Platform Engineer (AWS & Databricks) typically include Computer Occupations 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.

How Can I Improve My Chances of Getting Hired for Senior Data Platform Engineer (AWS & Databricks)?

To improve your chances of getting hired for Senior Data Platform Engineer (AWS & Databricks), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Data Platform Engineer (AWS & Databricks) Job Success

GoTo interview tips for Senior Data Platform Engineer (AWS & Databricks)

Here are some tips to help you prepare for and ace your Senior Data Platform Engineer (AWS & Databricks) job interview:

Before the Interview:

Research: Learn about the GoTo'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 Senior Data Platform Engineer (AWS & Databricks) interview at GoTo, 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 GoTo'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!

How to Set Up Job Alerts for Senior Data Platform Engineer (AWS & Databricks) Positions

Setting up job alerts for Senior Data Platform Engineer (AWS & Databricks) is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!