Databricks Analyst (SAP Data Integration & Unity Catalog)

Rialtes; Dehradun; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Rialtes is looking for a Databricks Analyst with expertise in SAP data integration and strong experience in Databricks Lakehouse architecture. The successful candidate will extract and ingest SAP data into the Databricks environment, enabling advanced analytics and data governance.

This position requires a minimum of 5–8 years of experience, a solid understanding of data pipelines, and proficiency in tools like Power BI and Tableau. Candidates should possess a degree in Computer Science or a related field.

Qualifications

• 5–8 years of experience with Databricks and SAP integration.
• Strong knowledge of Delta Lake, ETL/ELT pipelines, and data governance frameworks.
• Experience with cloud platforms like AWS, Azure, or GCP.

Responsibilities

• Extract and ingest SAP data into Databricks Lakehouse.
• Build scalable ETL/ELT pipelines using Databricks and Spark.
• Implement and manage Unity Catalog for data governance.

Skills

Databricks Lakehouse Platform

Apache Spark (PySpark / Scala)

Delta Lake

SAP integration

Data governance

Reporting tools (Power BI, Tableau)

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems

Tools

Databricks

Unity Catalog

SAP ECC

SQL

Python

Power BI

Tableau

Job description

Databricks Analyst (SAP Data Integration & Unity Catalog)

Location

Experience

5–8 Years

Company Overview

At Rialtes, we are driven by a mission to help Fortune 500 companiessimplify, enable, and empower their digital journeys across theglobe. Our focus is on building lasting partnerships that sparkgrowth, foster innovation, and ensure long-term success. As trustedSAP and Salesforce consulting experts, we offer bespoke,forward-thinking solutions leveraging cutting-edge platforms likeAgentforce, Data Cloud, S/4HANA, Joule, and SuccessFactors. Bypartnering with technology leaders such as YARDI, Dell, Workato, andmore, we ensure our solutions are integrated and scalable to meetthe ever-evolving needs of our clients. At Rialtes, we don’t justprovide services—we ignite digital transformation that drivesmeaningful success.

Role Overview

We are seeking a Databricks Analyst with strong experience in SAP data integration, Databricks Lakehouse architecture, and Unity Catalog governance. The ideal candidate will be responsible for ingesting, transforming, and analyzing SAP data within the Databricks platform, enabling enterprise analytics, AI/ML workloads, and modern data engineering pipelines.This role requires expertise in SAP data structures, Delta Lake architecture, data modeling, and secure data governance using Unity Catalog.

Key Responsibilities

Extract and ingest data from SAP systems (ECC, S/4HANA, BW, or SAP Datasphere) into Databricks Lakehouse.

Build scalable ETL/ELT pipelines using Databricks, Spark, and Delta Lake.

Integrate SAP data via ODP, SLT, SAP Extractors, APIs, or CDC pipelines.

Design and optimize bronze, silver, and gold data layers within the Lakehouse architecture.

SAP Data Analytics

Work with SAP functional teams to understand data models across modules such as:

Finance (FI/CO)

Supply Chain (MM, SD, PP)

Manufacturing and Logistics

Translate SAP business data into analytics-ready datasets for reporting and ML use cases

Unity Catalog & Data Governance

Implement and manage Unity Catalog for centralized data governance.

Define data access policies, RBAC permissions, lineage tracking, and data security controls.

Ensure compliance with enterprise data governance and security frameworks

Data Modeling & Optimization

Design star schemas, dimensional models, and curated datasets for BI and analytics.

Optimize Spark jobs, partitioning strategies, and Delta Lake performance.

Manage data quality, data validation, and reconciliation with SAP source systems.

Reporting & Data Consumption

Enable data consumption via tools such as:

Power BI

Tableau

Databricks SQL

Support business users in building enterprise dashboards and analytics use cases.

Work closely with SAP architects, data engineers, and analytics teams.

Participate in data platform architecture discussions and roadmap planning.

Support enterprise initiatives related to AI, advanced analytics, and data monetization.

Required Skills

Strong experience with Databricks Lakehouse Platform

Expertise in Apache Spark (PySpark / Scala / SQL)

Hands-on experience with Delta Lake

Experience implementing Medallion Architecture (Bronze/Silver/Gold)

SAP Integration

Experience extracting data from SAP ECC / S4HANA / SAP BW

Familiarity with:

SAP tables and structures

SAP Extractors

SAP SLT replication

ODP / OData APIs

Understanding of SAP business processes and data models

Unity Catalog & Governance

Hands-on experience with Databricks Unity Catalog

Knowledge of:

Role-based access control

Data governance frameworks

Data Platforms

Experience working with cloud data platforms such as AWS, Azure, or GCP

Knowledge of data pipelines, orchestration, and workflow automation

Role-based access control

Data governance frameworks

Preferred Skills

Experience with Databricks ML / AI capabilities

Knowledge of Databricks Delta Live Tables

Familiarity with SAP Datasphere or SAP BTP data services

Experience with streaming data pipelines

Understanding of data security and compliance standards

Tools & Technologies

Databricks Lakehouse

Unity Catalog

SAP ECC / S4HANA / BW

SQL / Python

Power BI / Tableau

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.