Key Responsibilities:
- Design and implement enterprise data architectures including Data Lakes, Data Warehouses, Data Fabric, and MDM solutions.
- Build scalable data pipelines and data integration frameworks.
- Define data governance, quality, lineage, and security standards.
- Enable AI/ML initiatives through robust data engineering and architecture practices.
- Collaborate with business and technology teams to develop data strategies and roadmaps.
- Optimize data platforms for performance, scalability, and reliability.
- 15+ years of experience in Data Architecture and Data Engineering.
- Strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, and Enterprise Data Platforms.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with ETL/ELT, data integration, and modern data pipelines.
- Knowledge of AI/ML data requirements and analytics platforms.
- Experience with data governance, metadata management, and data quality frameworks.
- Strong communication and stakeholder management skills.
- Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms.
- Background in AI, Generative AI, and enterprise data modernization initiatives.
Skills Required
- 15+ years of experience in data architecture and data engineering
- Strong expertise in Master Data Management, Data Fabric, Data Lakes, and enterprise data platforms
- Experience with AWS, Azure, or GCP cloud platforms
- Hands-on experience with ETL/ELT, data integration, and modern data pipelines
- Knowledge of AI/ML data requirements and analytics platforms
- Experience with data governance, metadata management, and data quality frameworks
- Strong communication and stakeholder management skills
- Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms
- Background in AI, Generative AI, and enterprise data modernization initiatives
What We Do
Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
