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Job Description & How to Apply Below
- 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
- 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
- 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
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