Senior Data Platform Engineer – Databricks, Open Metadata / Collate & Fivetran

Hiring: Senior Data Platform Engineer – Databricks, Open Metadata / Collate & Fivetran
Experience: 10+ Years
Employment Type: Full-Time
Location: Remote
Company: Saradysol Private Limited
Job Summary
We are looking for an experienced Senior Data Platform Engineer with strong hands-on expertise in Databricks, OpenMetadata / Collate, and Fivetran.
The ideal candidate should have strong technical knowledge of data engineering, lakehouse architecture, data ingestion, metadata management, data governance, platform administration, and performance optimization.Excellent verbal and written communication skills are mandatory.
Key Responsibilities
Databricks
Design, develop, and manage scalable lakehouse architectures.
Build, monitor, and optimize data engineering pipelines.
Work with Delta Lake, Apache Spark, PySpark, and Databricks SQL.
Manage Databricks platform administration, access controls, and performance tuning.
Troubleshoot production issues and improve pipeline reliability.
OpenMetadata / Collate
Implement, configure, and administer enterprise data catalogs.
Manage metadata ingestion, data lineage, classifications, and governance policies.
Configure metadata workflows, integrations, and access controls.
Monitor metadata synchronization and troubleshoot catalog-related issues.
Ensure metadata accuracy, consistency, and data governance compliance.
Fivetran
Configure, maintain, and troubleshoot data ingestion connectors.
Monitor data synchronization processes and resolve connector failures.
Optimize connector performance, reliability, and data integration workflows.
Manage data ingestion from multiple source systems into cloud data platforms.
Troubleshoot data replication and synchronization issues.
Required Skills
10+ years of overall IT experience with a strong background in data engineering and data platforms.
Strong hands-on experience with Databricks, including lakehouse architecture, data engineering, administration, and optimization.
Practical experience with OpenMetadata or Collate, including metadata management, data governance, lineage, and catalog administration.
Hands-on experience with Fivetran, including connector configuration, data ingestion, monitoring, and troubleshooting.
Strong SQL knowledge and experience with data warehousing concepts.
Good understanding of ETL/ELT processes and cloud-based data platforms.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication, presentation, and client-facing skills are mandatory.
Preferred Skills
Experience with AWS, Azure, or GCP.
Knowledge of Python, PySpark, and Apache Spark.
Experience with Delta Lake and modern lakehouse architectures.
Experience with data platform migration and modernization.
Understanding of data quality, governance frameworks, and security best practices.
Technical leadership and solution architecture experience.
Candidate Expectations
We are looking for a technically strong, experienced professional who can:
Independently manage and support complex data platform environments.
Demonstrate practical, hands-on expertise in Databricks, OpenMetadata / Collate, and Fivetran.
Troubleshoot and resolve production issues effectively.
Collaborate with cross-functional teams and stakeholders.
Communicate technical concepts clearly to clients and business teams.
Take ownership of platform stability, performance, and continuous improvement.
Why Join Us?
Opportunity to work across enterprise data engineering, lakehouse, data governance, BI, and cloud analytics platforms.
Collaborative and inclusive work environment.
Professional growth opportunities and certification sponsorship.
Flexible work environment with remote opportunities.
How to Apply
Send your updated resume to careers@saradysol.com with the subject line:
“Senior Data Engineer – Databricks, Data Governance”
Alternatively, apply via LinkedIn Easy Apply.
Join Saradysol in building next-generation data platforms and analytics solutions!

Work arrangement
Yes