Architect - Databricks, SAP, Tableau

Reliance Industries (RIL); Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Reliance Industries is seeking a hands-on Databricks/Tableau/SAP Architect to design, build, and scale our analytics platform from the ground up. You will write pipelines, create dashboards, and solve integration challenges in the early stages while hiring and mentoring a high-performing team for the future.

The ideal candidate combines data engineering, visualization expertise, and SAP data structures to deliver an enterprise-grade analytics platform that bridges SAP, Databricks, and Tableau

Qualifications

• 10+ years in data engineering/BI with architect-level hands-on experience.
• Strong Databricks expertise: Delta Lake, Spark, Unity Catalog, cost optimization.
• Proven Tableau dashboard design and performance optimization experience.
• Solid SAP knowledge: FI/CO, MM, SD and extraction methods.

Responsibilities

• Design and build end-to-end data pipelines on Databricks (Lakehouse architecture, Delta Lake, PySpark/SQL).
• Architect scalable, secure data platforms with ingestion, governance, and consumption layers.
• Personally build, optimize, and maintain complex Tableau dashboards and visualizations for business stakeholders.
• Define and enforce data modeling standards (star/snowflake, semantic layers) for fast, accurate dashboards.
• Own performance tuning across Databricks jobs, SQL warehouses, and Tableau extracts/live connections.

Skills

Databricks

Tableau

SAP

SQL

Python

Dimensional modeling

Leadership

Stakeholder mgmt

Job description

About the Role

We are looking for a hands-on DatabricksTableauSAP Architect who can single-handedly design, build, and scale our analytics and BI capability from the ground up. This is not a purely strategic or advisory position you will be writing pipelines, building dashboards, and solving integration problems yourself in the early stages, while simultaneously identifying, hiring, and mentoring a high-performing team as the function matures.

The ideal candidate is a rare combination of a data engineering architect (Databricks), a visualization expert (Tableau), and someone who deeply understands SAP systems and data structures, and can bridge all three into a cohesive, enterprise-grade analytics platform.

Key Responsibilities

Architecture & Hands-On Delivery

• Design and build end-to-end data pipelines on Databricks (Lakehouse architecture, Delta Lake, PySpark/SQL) to ingest, transform, and model data from SAP and other enterprise sources.
• Architect scalable, secure, and cost-optimized data platforms (batch and streaming) covering ingestion, transformation, governance, and consumption layers.
• Personally build, optimize, and maintain complex Tableau dashboards and data visualizations for business stakeholders not just review others' work.
• Define and enforce data modeling standards (star/snowflake schemas, semantic layers) to ensure dashboards are fast, accurate, and reusable.
• Own performance tuning across Databricks jobs, SQL warehouses, and Tableau extracts/live connections.

SAP Expertise

• Understand SAP data structures (SAP ECC modules such as FI/CO, MM, SD, etc.) and extract/transform SAP data (via SLT, CDC, BW, OData, or direct extractors) into Databricks.
• Partner with SAP functional/technical teams to define extraction logic, resolve data discrepancies, and ensure data integrity from source to dashboard.
• Advise on integration patterns between SAP and the Databricks/Tableau ecosystem (real-time vs. batch, replication tools, etc.).

Team Building & Leadership

• Build the analytics engineering/BI team from scratch define role requirements, interview, hire, and onboard talent.
• Set up team structure, ways of working, coding/design standards, and review processes.
• Manage performance actively set clear KPIs, provide regular feedback, and make retention/promotion/exit decisions based on demonstrated performance rather than tenure.
• Mentor junior/mid-level engineers and analysts on Databricks and Tableau best practices.
• Act as the technical escalation point until the team is mature enough to self-manage.

Stakeholder & Governance

• Work directly with business stakeholders to gather requirements and translate them into technical designs and dashboards.
• Establish data governance, access control, and documentation practices across the platform.
• Present architecture decisions and roadmap to leadership.

Required Skills & Experience

• 10+ years in data engineering/BI, with at least 3–5 years in an architect-level, hands-on role.
• Strong expertise in Databricks: Delta Lake, Spark (PySpark/Scala/SQL), Unity Catalog, workflows/jobs, cluster/cost optimization.
• Strong expertise in Tableau: dashboard design, calculated fields/LOD expressions, performance optimization, Tableau Server/Cloud administration.
• Solid working knowledge of SAP systems — data structures, key modules (FI/CO, MM, SD or relevant to business), and extraction methods (SLT, BW, CDS views, OData, third-party CDC tools like Qlik Replicate/Fivetran/SAP Datasphere).
• Proficiency in SQL and at least one scripting language (Python preferred).
• Experience designing data models (dimensional modeling, semantic layers) for BI consumption.
• Prior experience building a team from the ground up, including hiring and performance management.
• Strong stakeholder management and communication skills — able to work with both technical and business teams.