Employment Eligibility Statement
Due to specific project and client requirements, this position is open to U.S. Citizens and U.S. Lawful Permanent Residents (s). Sponsorship is not available at this time.
Danta Technologies evaluates all candidates in compliance with the Immigration and Nationality Act (INA) and EEOC guidelines. All hiring decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Position Overview:
We are seeking an experienced Data Architect with a proven background in supporting mergers and acquisitions (M&A) as well as hands-on expertise in migrating data from non-SAP systems to SAP platforms. The ideal candidate will play a key role in designing, implementing, and optimizing data architectures that support business integration, transformation, and scalability during and after M&A activities.
Key Responsibilities:
- Lead the design and implementation of enterprise data architecture strategies to support business objectives, specifically during mergers and acquisitions.
- Develop and execute data migration plans from non-SAP systems (such as legacy databases, third-party ERPs, or custom applications) to SAP environments, ensuring data integrity, quality, and security.
- Collaborate closely with business stakeholders, IT teams, and third-party vendors to gather requirements, assess current state, and define future-state data models and migration roadmaps.
- Conduct data profiling, mapping, cleansing, and transformation activities to facilitate seamless integration into SAP systems.
- Identify and mitigate risks associated with data migration and integration during M&A processes, including compliance and regulatory considerations.
- Establish data governance frameworks and best practices to ensure consistent data management across merged entities.
- Provide technical leadership and mentorship to project teams throughout the data migration lifecycle.
- Create and maintain documentation related to data architecture, migration procedures, and post-go-live support.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Minimum of 7 years' experience as a Data Architect, Data Migration Specialist, or equivalent role.
- Demonstrated experience in supporting mergers and acquisitions from a data architecture and integration perspective.
- Proven track record of successfully migrating data from non-SAP systems to SAP (e.g., SAP S/4HANA, SAP ECC, SAP BW).
- Strong understanding of SAP data structures, ETL tools, and migration methodologies (such as SAP Data Services, LSMW, or SAP Migration Cockpit).
- Expertise in data modeling, data governance, data quality, and master data management.
- Excellent analytical, problem-solving, and communication skills.
- Experience working in complex, fast-paced environments involving multiple stakeholders.
Preferred Qualifications:
- Certifications in SAP Data Management or SAP Architecture.
- Experience with cloud-based SAP solutions and hybrid environments.
- Prior participation in large-scale M&A integration projects.
- Knowledge of compliance regulations (GDPR, SOX, etc.) related to data migration and integration.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
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