Posted 08 July, 2026
Senior Architect- Databricks
NR Consulting - India
PAN India, IN
Full Time
Reference: 26-15568-2220-1
Title: Senior Architect- Databricks
Location: PAN India
Exp: 14-19 Years
Job Description:
requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Skills and Qualifications:
Bachelor's and/or master's degree in computer science or equivalent experience.
Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
Deep understanding of Star and Snowflake dimensional modelling.
Strong knowledge of Data Management principles
Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
Should have hands-on experience in SQL, Python and Spark (PySpark)
Candidate must have experience in AWS/ Azure stack
Desirable to have ETL with batch and streaming (Kinesis).
Experience in building ETL / data warehouse transformation processes
Experience with Apache Kafka for use with streaming data / event-based data
Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
Experience working with structured and unstructured data including imaging & geospatial data.
Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Should have experience working in Agile methodology.
Job Description:
• 15+ Years of experience in Data & Analytics with Good Communication and presentations skills.
• At least 2 years' experience in Databricks implementations, 2 large scale data warehouse end-to- end
implementation experience.
• Must have Databricks certified architect.
• Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Py spark) for data manipulation
and automation.
• Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
• Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT,
replication tools, performance tuning will be added advantage / must have skills
Location: PAN India
Exp: 14-19 Years
Job Description:
requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Skills and Qualifications:
Bachelor's and/or master's degree in computer science or equivalent experience.
Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
Deep understanding of Star and Snowflake dimensional modelling.
Strong knowledge of Data Management principles
Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
Should have hands-on experience in SQL, Python and Spark (PySpark)
Candidate must have experience in AWS/ Azure stack
Desirable to have ETL with batch and streaming (Kinesis).
Experience in building ETL / data warehouse transformation processes
Experience with Apache Kafka for use with streaming data / event-based data
Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
Experience working with structured and unstructured data including imaging & geospatial data.
Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Should have experience working in Agile methodology.
Job Description:
• 15+ Years of experience in Data & Analytics with Good Communication and presentations skills.
• At least 2 years' experience in Databricks implementations, 2 large scale data warehouse end-to- end
implementation experience.
• Must have Databricks certified architect.
• Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Py spark) for data manipulation
and automation.
• Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
• Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT,
replication tools, performance tuning will be added advantage / must have skills
