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Data Architect

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: LTM
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 145000 - 155000 USD Yearly USD 145000.00 155000.00 YEAR
Job Description & How to Apply Below

Overview

Data Architect with strong experience in SAP S4

HANA transformations responsible for end to end data management including Data Migration, Data Archiving, Data Quality and Governance.

Key Responsibilities
  • Data Architecture Strategy
    :
    Define and own end to end SAP S4

    HANA data architecture and data lifecycle strategy with deep understanding of ECC and S4

    HANA data management. Design data lifecycle management covering creation, usage, retention, archiving and purge. Align data strategy with business processes, compliance and S4

    HANA data model.
  • Data Migration
    :
    Lead ECC to S4

    HANA data migration including profiling, cleansing, transformation, mapping, validation, reconciliation and cutover. Hands on expertise in SAP Migration Cockpit, SAP BODS, SAP SDI and ETL frameworks ensuring business sign off and audit traceability.
  • Data Archiving, Data Volume Management
    :
    Design and implement pre and post S4

    HANA data archiving strategy to reduce data footprint, migration effort and system risk. Strong experience in SAP Archiving, ILM and DVM including retention rules, archived data access and audit compliance.
  • Data Quality & Governance
    :
    Define data quality rules, validation frameworks and KPIs. Establish data ownership, stewardship and governance models. Drive resolution of data quality issues, duplicates, inconsistencies and obsolete data. Ensure audit ready documentation and traceability.
  • Stakeholder Delivery Management
    :
    Work closely with business, functional, technical and compliance teams. Conduct data workshops and lead data-related decision forums. Identify data risks and drive mitigation plans. Support UAT and business sign off and transition to support teams.
Required Skills & Experience
  • 15 years of experience in SAP Data Management & Data Architecture
  • Strong experience on SAP S4

    HANA transformation programs
  • Hands on experience with SAP Archiving, ILM and DVM
  • Strong understanding of ECC and S4

    HANA data models
  • Excellent stakeholder communication and ownership mindset
Compensation & Benefits

Variable Compensation:
This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits and Perks:
Comprehensive Medical Plan Covering Medical, Dental, Vision;
Short Term and Long-Term Disability Coverage; 401(k) Plan with Company match;
Life Insurance;
Paid Paternity and Maternity Leave;
Vacation Time, Sick Leave, Paid Holidays.

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Role

location &

Employment Type

Cincinnati, OH - Hybrid

Full Time

Salary: $145,000 - $155,000 per Year

Disclaimer:
The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law.

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