{"id":1272776,"url":"https://alion.io/job/reliance-industries-sap-architect","title":"SAP Architect","company":{"id":227,"name":"Reliance Industries","domain":"ril.com","url":"https://alion.io/company/reliance-industries","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CDS Views","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Fivetran","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Replicate","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"ABAP","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"SAP BW","optional":true}],"status":"live","first_seen_at":"2026-08-31T11:37:31Z","employer_posted_date":null,"last_verified_at":"2026-08-31T11:37:31Z","board_verified":false,"closed_at":null,"days_open":60,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":60},"description":"Job Description : \n\nAbout the Role : \n\nWe are looking for a hands-on Databricks - Tableau - SAP Architect who can single-handedly design, build, and scale our analytics and BI capability from the ground up.\n\nThis 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.\n\nThe 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.\n\nKey Responsibilities : \n\nArchitecture & Hands-On Delivery : \n\n- 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.\n\n- Architect scalable, secure, and cost-optimized data platforms (batch and streaming) covering ingestion, transformation, governance, and consumption layers.\n\n- Personally build, optimize, and maintain complex Tableau dashboards and data visualizations for business stakeholders not just review others' work.\n\n- Define and enforce data modeling standards (star/snowflake schemas, semantic layers) to ensure dashboards are fast, accurate, and reusable.\n\n- Own performance tuning across Databricks jobs, SQL warehouses, and Tableau extracts/live connections.\n\nSAP Expertise : \n\n- 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.\n\n- Partner with SAP functional/technical teams to define extraction logic, resolve data discrepancies, and ensure data integrity from source to dashboard.\n\n- Advise on integration patterns between SAP and the Databricks/Tableau ecosystem (real-time vs. batch, replication tools, etc.).\n\nTeam Building & Leadership : \n\n- Build the analytics engineering/BI team from scratch; define role requirements, interview, hire, and onboard talent.\n\n- Set up team structure, ways of working, coding/design standards, and review processes.\n\n- Manage performance actively; set clear KPIs, provide regular feedback, and make retention/promotion/exit decisions based on demonstrated performance rather than tenure.\n\n- Mentor junior/mid-level engineers and analysts on Databricks and Tableau best practices.\n\n- Act as the technical escalation point until the team is mature enough to self-manage.\n\nStakeholder & Governance : \n\n- Work directly with business stakeholders to gather requirements and translate them into technical designs and dashboards.\n\n- Establish data governance, access control, and documentation practices across the platform.\n\n- Present architecture decisions and roadmap to leadership.\n\nRequired Skills & Experience : \n\n- 10+ years in data engineering/BI, with at least 3 - 5 years in an architect-level, hands-on role.\n\n- Strong expertise in Databricks : Delta Lake, Spark (PySpark/Scala/SQL), Unity Catalog, workflows/jobs, cluster/cost optimization.\n\n- Strong expertise in Tableau : dashboard design, calculated fields/LOD expressions, performance optimization, Tableau Server/Cloud administration.\n\n- 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).\n\n- Proficiency in SQL and at least one scripting language (Python preferred).\n\n- Experience designing data models (dimensional modeling, semantic layers) for BI consumption.\n\n- Prior experience building a team from the ground up, including hiring and performance management.\n\n- Strong stakeholder management and communication skills - able to work with both technical and business teams.\n\nPreferred / Good to Have : \n\n- Experience with cloud platforms (Azure/AWS/GCP) hosting Databricks.\n\n- Familiarity with SAP BW/4HANA or SAP Datasphere/Analytics Cloud.\n\n- Exposure to CI/CD for data pipelines (DevOps for data/DataOps practices).\n\n- Certifications : Databricks Certified Data Engineer/Architect, Tableau Desktop Specialist/Certified Professional, SAP certifications (any module).\n\n- Experience in relevant industry (e.g., manufacturing, retail, BFSI) domain.\nSkills\nSAP Architect, SAP Data Services, Data Pipeline, Data Analytics, SAP Analytics, Databricks, Visualization, Tableau, SQL, SAP ECC, SAP BI","description_format":"text","description_chars":4594,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile 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