krtrimaiq cognitive solutions
https://krtrimaiq.aiAbout
Founded in 2019 by a data and AI veteran with over 30 years of industry experience, krtrimaIQ was built with one belief: AI shouldn't be a distant promise; it should be working inside your business today.
Trusted by global players as an innovation partner and delivery backbone, our team brings together deep academic grounding, real-world experience, and a shared commitment to building systems that deliver quietly, reliably, and at scale.
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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
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