Databricks Resident Data Architect
New
J
JobgetherData and Analytics
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in consulting, client-facing technology engagements, with at least 7 years focused on data engineering, analytics, and modern data platforms.
- Required Skills
- Cloud ComputingData engineeringSparkCI/CDDatabricksMLOps
Requirements
- 10+ years of experience in consulting, client-facing technology engagements, with at least 7 years focused on data engineering, analytics, and modern data platforms.
- Proven experience delivering multiple enterprise Databricks implementations, including hands-on architecture and development responsibilities.
- Advanced expertise in the Databricks Lakehouse Platform, Apache Spark, Delta Lake, and distributed data processing concepts.
- Databricks Certified Data Engineer Professional certification or equivalent advanced certification is required.
- Strong experience with at least one major cloud platform such as AWS, Azure, or GCP, with familiarity across multiple cloud environments.
- Solid understanding of data architecture, data integration, governance, security, quality frameworks, and performance optimization.
- Experience implementing CI/CD pipelines, production deployment processes, and modern engineering practices.
- Knowledge of MLOps principles, AI/ML implementation workflows, and operationalizing machine learning solutions is preferred.
- Familiarity with Databricks Unity Catalog, data governance frameworks, and visualization platforms such as Power BI or Tableau is an advantage.
- Strong stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable technical solutions.
- Ability to lead technical discussions, mentor teams, and operate effectively in enterprise consulting environments.
Responsibilities
- Serve as a dedicated Resident Data Architect and trusted technical advisor, supporting strategic customer initiatives and ensuring successful adoption of modern data solutions.
- Lead the architecture, design, implementation, and optimization of enterprise-scale data platforms using Databricks Lakehouse technologies.
- Partner with business stakeholders, technical teams, and leadership to define data strategies, technology roadmaps, and transformation initiatives.
- Design scalable lakehouse architectures while ensuring best practices across data engineering, governance, security, performance, and reliability.
- Drive data modernization, cloud migration, and digital transformation programs across complex enterprise environments.
- Guide engineering teams on data modeling, ETL/ELT processes, analytics architecture, and production deployment practices.
- Support the adoption of AI/ML capabilities, real-time analytics, and advanced data solutions within modern data ecosystems.
- Establish and improve CI/CD processes, MLOps practices, and operational frameworks for production data workloads.
- Provide technical leadership, mentorship, and knowledge sharing to customer teams and delivery partners.
- Manage project delivery, identify risks, communicate progress, and ensure alignment between technical solutions and business objectives.
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