Job Overview
| Particulars | Details |
|---|---|
| Position | Databricks Lakehouse Architect / Data Platform Architect / Senior Data Engineer |
| Company | PhiTech Labs |
| Job Type | Remote |
| Experience | 7 - 8 years |
| Category / Department | IT |
| Application Mode |
🏢 About PhiTech Labs
Company Overview:
PhiTech Labs is a software development and IT consulting company founded in 2023 and headquartered in Kanpur, Uttar Pradesh, with a growing presence in Noida, Hyderabad, and Bangalore. The company provides technology solutions for businesses ranging from early-stage startups to large enterprises. Its approach combines technical expertise, innovation, strategy, and execution to deliver reliable and practical software solutions.
Company Mission:
To help businesses grow through custom, reliable, and easy-to-use technology solutions by combining technical expertise with creative thinking to solve real business problems and create long-term value.
Company Vision:
To become a trusted technology partner for businesses worldwide by delivering efficient, user-centric, forward-thinking, simple, useful, and accessible technology solutions.
Core Values / Principles
Innovation
Client Success
Integrity
Teamwork & Collaboration
Quality Without Compromise
1st Floor, Chandra Vihar, HIG-1B, Lakhanpur, Khyora, Kanpur, Uttar Pradesh 208002
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight 8+ years of relevant data engineering or architecture experience.
Clearly showcase hands-on Databricks experience.
Mention specific experience with Delta Lake and Unity Catalog.
Include relevant Lakehouse or Data Platform architecture projects.
Highlight experience with Mosaic AI, Agent Bricks, Genie, Vector Search, or MLflow where applicable.
Quantify the scale, performance improvements, and business impact of major data platform projects.
Interview Preparation:
Review Databricks Lakehouse architecture and core components.
Prepare to explain Delta Lake architecture and its key capabilities.
Understand Unity Catalog and data governance concepts.
Review Databricks AI capabilities, including Mosaic AI, Agent Bricks, Genie, Vector Search, and MLflow.
Be prepared to discuss real-world data engineering and platform architecture projects.
Prepare architecture scenarios involving scalability, governance, data quality, and enterprise data platforms.
Professional Tips:
Tailor your resume specifically toward Databricks and data architecture.
Lead with measurable achievements rather than only listing technologies.
Highlight architecture decisions and the scale of platforms you have worked on.
Include relevant certifications or technical credentials if applicable.
Ensure your LinkedIn profile and resume are consistent before applying.
📝 Job Description
Position Details:
PhiTech Labs is seeking experienced data professionals with strong expertise in the Databricks ecosystem. The available opportunities are focused on Lakehouse Architecture, Data Platform Architecture, and Senior Data Engineering.
The ideal candidate should have 8+ years of experience and strong practical knowledge of modern data platforms built around Databricks. Candidates should be comfortable working with technologies including Delta Lake and Unity Catalog, along with advanced Databricks AI capabilities.
Relevant Databricks AI technologies include Mosaic AI, Agent Bricks, Genie, Vector Search, and MLflow.
The position is offered as a remote opportunity.
Benefits / Compensation
Remote work opportunity
Salary/compensation: Not Provided
Other benefits: Not Provided
Candidate Requirements:
8+ years of professional experience
Strong experience with Databricks
Experience relevant to Lakehouse Architecture, Data Platform Architecture, or Senior Data Engineering
Strong understanding of Delta Lake
Strong understanding of Unity Catalog
Knowledge of Databricks AI capabilities
Preferred Skills:
Databricks
Delta Lake
Unity Catalog
Mosaic AI
Agent Bricks
Genie
Vector Search
MLflow
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can share their profile with the recruitment contact at Sneha.das@phitechlabs.com.
🎯 Key Responsibilities
- ✓ Design and work with modern data platforms using Databricks.
- ✓ Contribute to Lakehouse and Data Platform architecture initiatives.
- ✓ Develop and support scalable data engineering solutions.
- ✓ Work with Delta Lake and Unity Catalog capabilities.
- ✓ Utilize relevant Databricks AI technologies such as Mosaic AI, Agent Bricks, Genie, Vector Search, and MLflow.
- ✓ Apply strong data engineering and architecture practices to enterprise data solutions.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Databricks Lakehouse Architect / Data Platform Architect / Senior Data Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
1. What positions are available at PhiTech Labs?
The hiring is focused on Lakehouse Architects, Data Platform Architects, and Senior Data Engineers.
2. What is the required experience?
Candidates should have 8+ years of professional experience.
3. Is this a remote position?
Yes. The position is offered as a remote opportunity.
4. Which primary technology is required?
Strong expertise in Databricks is required.
5. Is Delta Lake required?
Yes. Delta Lake is one of the key technologies mentioned for the opportunity.
6. Is Unity Catalog part of the required skill set?
Yes. Strong knowledge of Unity Catalog is required.
7. Which Databricks AI technologies are relevant to the role?
The source specifically mentions Mosaic AI, Agent Bricks, Genie, Vector Search, and MLflow.
8. What type of candidates is PhiTech Labs looking for?
The company is looking for experienced data professionals specializing in Lakehouse Architecture, Data Platform Architecture, or Senior Data Engineering.
9. How can candidates apply?
Candidates can share their profile through the provided recruitment email: Sneha.das@phitechlabs.com.
10. Is salary information provided?
No. Salary or compensation details have not been provided in the source job post.
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