Senior Data Architect – Databricks

About the Role

We are looking for a Senior Data Architect to join a high-impact enterprise data engineering team focused on building scalable, cloud-based data platforms using Databricks .

In this role, you will work closely with strategic customers to design, implement, and deploy modern data and AI solutions. You will own technical architecture, large-scale data migrations, production deployments, and customer engagements while also mentoring junior engineers.

Key Responsibilities

- Design and implement end-to-end data architectures using Databricks and cloud technologies.
- Lead large-scale data migrations to and from Databricks .
- Work directly with customers to understand requirements and translate them into scalable technical solutions.
- Build reference architectures, technical documentation, and how-to guides.
- Guide customers through the design, development, deployment, and adoption of Databricks-based data and AI solutions .
- Develop and productionize large-scale data engineering and analytics applications.
- Collaborate with Project Managers, Architects, Engagement Managers, and customer teams to ensure successful technical delivery.
- Provide technical guidance and support for complex production issues.
- Manage technical scope, timelines, and delivery for customer projects.
- Apply best practices around CI/CD, MLOps, security, scalability, and performance .




- Mentor and guide junior data engineers and technical team members.
- Conduct technical discussions, architecture sessions, and whiteboarding with customers and internal stakeholders.
- Travel up to 30% , based on customer requirements.

Required Skills & Experience
- 6+ years of experience in data engineering, data platforms, and analytics.
- Strong hands-on experience with Databricks and enterprise data platforms.
- Mandatory: Databricks certification.
- Proven experience with large-scale data migrations to/from Databricks.
- Deep expertise in Apache Spark , including Spark architecture and runtime internals.
- Strong programming experience in Python or Scala .
- Experience with at least two major cloud platforms — AWS, Azure, or GCP — with deep expertise in at least one.
- Experience designing and deploying high-performance, scalable end-to-end data architectures .
- Hands-on experience deploying and integrating Databricks-based solutions in production.
- Working knowledge of CI/CD and MLOps .
- Experience managing technical projects, scope, timelines, and delivery.
- Robust documentation, presentation, and whiteboarding skills.
- Proven customer-facing / consulting experience with external clients.
- Strong stakeholder management and conflict-resolution skills.
- Excellent communication, collaboration, and problem-solving abilities.

📌 Senior Data Architect – Databricks (India)
🏢 Recro
📍 India