Live opening · Posted 1 day ago

Lead Oracle EPM Data Integration Architect(14+ years)

Tachyon Technologies · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyTachyon Technologies
LocationIndia (Remote)
Work modeYes
SkillsPython, Azure
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Job Title: Lead / Principal Oracle EPM & NSPB Data Engineer (Data Warehouse Specialist)
Need to close ASAP
Location: Hyderabad, India (On-site / Hybrid)/Remote
Experience Level: 12+ Years of relevant IT & Financial Systems experience
Duration: 2+ Months
Position Overview:
We are seeking a seasoned Lead/Principal Technical Consultant with over 12 years of enterprise financial systems experience, specializing in NetSuite Planning and Budgeting (NSPB) and the Oracle EPM (Hyperion/Essbase) cloud ecosystem. This senior leader will architect, design, and oversee the execution of data extraction pipelines from multi-dimensional financial cubes into our centralized Data Warehouse.
The ideal candidate will bridge the gap between complex financial modeling architecture and modern data engineering pipelines, working alongside our core NetSuite ERP team in Hyderabad to deliver high-impact enterprise KPIs.
Core Responsibilities:
• Pipeline Architecture & Strategy: Lead the end-to-end design, development, and optimization of robust ETL/ELT pipelines to extract financial models, rolling forecasts, budgets, and KPIs out of NSPB/Oracle EPM Cloud environments.
• Multi-Dimensional Cube Optimization: Serve as the subject matter expert on querying and interpreting multi-dimensional intersections across dense and sparse dimensions within Oracle Essbase / EPM cubes.
• Integration Automation: Design corporate-grade automation frameworks for data extraction utilizing EPM Automate, Oracle EPM REST APIs, and the Data Exchange/Data Integration layer.
• Technical Governance & Collaboration: Partner with the NetSuite ERP Lead to govern data definitions, map actuals vs. forecasts, and ensure strict reconciliation between transactional data and warehouse metrics.
• Team Leadership: Mentor junior data engineers on financial data modeling concepts and multi-dimensional database mechanics.
Must-Have Technical Skills (Sourcing Keywords):
• Platforms: NetSuite Planning and Budgeting (NSPB), Oracle EPM Cloud (Planning, PBCS, or EPBCS), Oracle Hyperion, Essbase Cubes.
• Extraction & Integration: EPM Automate, EPM Integration Agent, Data Exchange, Oracle EPM REST APIs.
• Data Warehousing & Data Ops: Advanced SQL, Python (or Shell scripting), and hands-on experience moving data into enterprise cloud warehouses (e.g., Snowflake, BigQuery, Databricks, Redshift, or Azure Data Factory).
• Core Concepts: Deep knowledge of Financial Performance Management (FPM), multidimensional database design, and calculation scripts (MaxL, Essbase calc scripts).
Preferred Experience & Qualifications:
• 12+ years of total experience with at least 5+ years dedicated heavily to Cloud EPM/NSPB implementations and data engineering.
• Proven track record of delivering at least 2 major financial Data Warehouse or large-scale BI migration projects.
• Strong understanding of complex financial workflows (e.g., currency translations, eliminations, multi-gap accounting, variance driver analysis).
Sourcing Strategy & Screening Tips for Hyderabad Talent:
• Target Companies in Hyderabad: Look for candidates who have worked in the specialized Oracle EPM/NetSuite practices of global consulting firms or major system integrators with massive Hyderabad hubs (e.g., Oracle India, Deloitte, PwC, KPMG, Capgemini, Infosys, or Wipro).
• Sourcing Screening Question: "With 12+ years of experience, you’ve likely worked with both relational and multi-dimensional databases. Can you explain the specific challenges of extracting multi-dimensional data out of an NSPB/PBCS cube into a flat relational data warehouse structure, and how you managed the dense/sparse dimensions during ETL?"
• What to look for: A true 12+ year expert will immediately talk about the complexities of flattening data, managing time-intelligence dimensions, and optimizing the export block sizes so the pipeline doesn't crash the EPM environment.
Would you like me to add any specific Shift Timings (e.g., UK, US, or General Day Shift) or specific Cloud Data Warehouse platforms to customize this further for your Hyderabad team?

Work arrangement
Yes

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