Senior Resident Solution Architect
U
Unison GroupInformation Technology
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years of overall experience in Information Technology; 6+ years of hands-on experience designing and implementing solutions using Databricks.
- Required Skills
- PythonSQLETLGitSparkDatabricksPySpark
Requirements
- 10+ years of overall experience in Information Technology.
- 6+ years of hands-on experience designing and implementing solutions using Databricks.
- Proven experience in architecting enterprise-scale data platforms and analytics solutions.
- Strong hands-on expertise in Databricks.
- Strong programming skills in Python and SQL.
- Extensive experience with Apache Spark (PySpark/Spark SQL).
- Solid understanding of Data Lake and Lakehouse architectures.
- Experience implementing Medallion Architecture (Bronze, Silver, Gold layers).
- Expertise in designing and maintaining scalable ETL/ELT pipelines.
- Strong knowledge of data modeling, partitioning, optimization, and performance tuning.
- Familiarity with CI/CD practices, version control (Git), and Agile methodologies.
Responsibilities
- Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures.
- Design and implement modern Data Lakehouse solutions using Databricks.
- Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark.
- Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles.
- Lead solution design discussions, technical workshops, and architecture reviews with customers.
- Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Design secure, reliable, and highly available data solutions with appropriate governance and monitoring.
- Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions.
- Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required.
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