? Hiring: Data Architect / Principal Data Engineer – Databricks

We are looking for an experienced Data Architect / Principal Data Engineer with 10–12 years of experience in designing and delivering enterprise-scale Data, Analytics, and AI solutions.

The ideal candidate should have strong hands-on expertise in Databricks, Lakehouse Architecture, Apache Spark, Delta Lake, and Cloud Data Platforms , along with the ability to independently lead architecture discussions with enterprise clients.

This is a strategic and hands-on leadership opportunity for professionals who can translate complex business requirements into scalable, secure, and high-performance data architecture solutions.

? Job Details

- Job Titles: Data Architect / Principal Data Engineer / Technical Architect – Data & AI / Lead Data Architect / Cloud Data Platform Architect
- Experience: 10–12 Years
- Work Mode: On-site
- Locations: Vikhroli, Mumbai | Baner, Pune
- Employment Type: Contract-to-Hire (C2H)
- Payroll: client's payroll after successful completion of 6 months Contract duration.
- Travel: Must be willing to travel to the project location whenever required.

? Key Responsibilities
- Design and architect enterprise-scale Data & Analytics platforms using Databricks Lakehouse Architecture.
- Define end-to-end architecture covering data ingestion, transformation, storage, governance, security, and consumption.
- Lead technical and architecture discussions with enterprise clients and translate business requirements into scalable solutions.
- Design batch and real-time data pipelines using Apache Spark, Databricks, and Delta Lake.
- Implement Medallion Architecture (Bronze, Silver, and Gold layers).
- Architect cloud data integrations using BigQuery, Cloud Storage, Pub/Sub, Dataflow, Composer, and Vertex AI.
- Drive cloud modernization and migration initiatives from legacy and on-premises platforms to Databricks.
- Establish data governance, security, compliance, performance optimization,



and cost management standards.
- Provide architectural guidance and mentorship to Data Engineers and Technical Leads.
- Support pre-sales activities, including solution design, effort estimation, technical proposals, and client presentations.
- Drive DevOps, CI/CD, Infrastructure as Code (IaC), and cloud engineering best practices.

? Required Skills & Expertise Data Architecture & Engineering

- Strong hands-on experience with Databricks and Lakehouse Architecture.
- Expertise in Delta Lake, Medallion Architecture, and Apache Spark.
- Experience designing enterprise-grade batch and real-time data pipelines.
- Strong understanding of contemporary data platforms supporting Analytics and AI/ML workloads.

Cloud & Platform Integration

- Experience with cloud data modernization and migration initiatives.
- Working knowledge of Google Cloud services: BigQuery, Cloud Storage, Pub/Sub, Dataflow, Composer, and Vertex AI.
- Understanding of data governance, security, compliance, and regulatory frameworks.
- Knowledge of DevOps, CI/CD, and Infrastructure as Code (IaC).

Architecture Leadership & Client Engagement

- Ability to independently lead enterprise architecture discussions.
- Strong stakeholder management and communication skills.
- Experience in architecture reviews, technical solutioning, performance tuning, and cost optimization.
- Exposure to pre-sales, effort estimation, technical proposals, and client presentations.

? Ideal Candidate Profile We are specifically looking for professionals who can own end-to-end data architecture and independently drive technical discussions with enterprise clients , rather than candidates whose experience is limited to managing Data Engineering teams.

If this opportunity matches your experience, apply now or share your profile!

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📌 Data Architect / Principal Data Engineer – Databricks (Pune)
🏢 Philodesign Technologies
📍 Pune