Databricks Senior Solutions Engineer Hiring 2026 | Pune

Databricks Senior Solutions Engineer hiring is active on the company's official careers system. Databricks is hiring a senior solutions engineer in Pune to help customers design and adopt data and AI platforms. This guide uses the live employer listing and links directly to it.

The position is based in Pune, Maharashtra, India. Full-time employment. Candidates should compare their recent work with the verified requirements before applying.

Databricks Senior Solutions Engineer: Quick Facts

Company	Databricks
Position	Senior Solutions Engineer
Location	Pune, Maharashtra, India
Employment	Full-time employment
Published or timing note	Official listing verified active on 11 June 2026
Application deadline	No closing date is stated; apply while the official listing remains active

Salary and Employment Context

The official listing does not publish an India salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time employment. The location information is Pune, Maharashtra, India. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• Candidates need strong customer-facing technical experience in data, analytics, cloud, or AI.
• The role requires architecture discovery, demonstrations, and solution design.
• Knowledge of distributed data processing and modern data platforms is important.
• Applicants should explain complex architecture to both technical and business audiences.
• Travel and account collaboration may be required for customer engagements.

What Does a Senior Solutions Engineer Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Discover customer requirements and map them to data-platform architecture.
• Build demonstrations, proofs of concept, and technical success plans.
• Explain lakehouse, analytics, governance, data engineering, and AI patterns.
• Partner with sales, delivery, product, and customer engineering teams.
• Identify technical risks and guide customers through adoption.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Spark, SQL, Python, data engineering, analytics, and distributed systems.
• AWS, Azure, or Google Cloud architecture and security.
• Solution consulting, discovery, presentation, and proof-of-concept delivery.
• Data governance, warehouses, lakehouses, streaming, and machine learning.
• Clear communication with architects, engineers, executives, and procurement teams.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Databricks job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare a lakehouse design for batch, streaming, BI, and ML workloads.
• Practise a concise technical demonstration with measurable success criteria.
• Bring examples of resolving security, performance, or adoption objections.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

The India listing does not publish a salary range. Confirm every compensation component in the written offer.

Where is the job based?

The official listing gives the location as Pune, Maharashtra, India.

Was the listing checked?

Yes. The official employer page was active on 11 June 2026.

Should applicants pay a fee?

No. Never pay for a private job application, interview, referral, or offer letter.

What is the official source?

The source is the official Databricks recruitment page at www.databricks.com. Use that page for the current status.