krtrimaiq cognitive solutions

Job Title: Databricks Architect

Experience Level: Senior (Architect-level)

Role Type: Full-time

Role Overview

We are looking for a highly experienced Databricks Architect to design, migrate, and optimize large-scale data platforms on Databricks. This is a senior-level role requiring strong architectural ownership, hands-on experience with Databricks migrations, and deep expertise in modern data engineering ecosystems.

The ideal candidate has prior experience in data architecture roles before Databricks, and has successfully transitioned data platforms into the Databricks environment while ensuring scalability, performance, and cost efficiency.

Key Responsibilities

• Design and lead end-to-end data architecture solutions using Databricks
• Own and execute data migration strategies into Databricks from legacy or cloud data platforms
• Architect scalable Lakehouse solutions using Delta Lake, Spark, and cloud-native services
• Define best practices for data modeling, ingestion, processing, and governance
• Collaborate with data engineers, analytics teams, and stakeholders to translate business requirements into technical designs
• Optimize performance, reliability, and cost of Databricks workloads
• Ensure data security, compliance, and access controls within Databricks environments
• Review and guide implementation through design reviews and technical governance

Required Skills & Experience

• Several years of experience as a Data Architect / Databricks Architect
• Strong hands-on experience with Databricks (Spark, Delta Lake, Lakehouse architecture)
• Proven track record of migrating data platforms into Databricks
• Solid background in data engineering prior to Databricks adoption
• Deep understanding of distributed systems and big data architectures
• Experience with cloud platforms (AWS / Azure / GCP)
• Strong expertise in ETL/ELT pipelines, data modeling, and performance tuning
• Excellent problem-solving and stakeholder communication skills

Good to Have

• Databricks Certifications (Architect / Data Engineer / Professional level)
• Experience with governance tools (Unity Catalog, data lineage, metadata management)
• Exposure to streaming frameworks and real-time data processing

Ideal Candidate Profile

• Senior architect who has designed and owned Databricks-based solutions
• Comfortable making architectural decisions and guiding teams
• Strong balance of hands-on expertise and high-level system design
• Experience working in complex, enterprise-scale data environments