LI
Data Solution Architect
LanceSoft Inc
🇺🇸 United States
On-site
1 month ago
- Integration Testing
- SAP
- Data Modeling
- Azure
- GCP
- SQL
- Python
- PySpark
- Apache Spark
- DAX
- Databricks
- CI/CD
- Devops
- ETL
- Snowflake
- Vault
- Alteryx
- Power BI
- Tableau
1 month ago
Location: East Hanover, NJ 07936 Hybrid
Duration: 03 Months (09/07/2026 to 12/11/2026)
Job Description
Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical models to drive long-term business results.
How you will contribute
You will:
- Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
- Parter with Product Owners, BI Developers and Business Leads to conduct business requirement gathering & continuous improvement sessions to support the business and understand requirements for analytical projects and develop necessary requirement documents and acceptance criteria to support their development in line with process guidelines
- Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases based off analytical data product requirements.
- Support for scoping, building, testing, and maintaining transport/data pipelines and retrieving applicable data sets for specific use cases.
- Support building, testing, and maintaining data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
- Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
- Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
- Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation.
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
- Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
- Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
- Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.
What extra ingredients will you bring:
- Cloud computing technologies (Azure, GCP)
- Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
- Analytics platforms: Databricks, Google Cloud Dataproc, etc.
- Experience with CI/CD, DevOps, and DataOps techniques.
- Experience with ETL, Data pipelines and architecture
- Technical Documentation
- Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
- Data quality and profiling methods
Education / Certifications:
- Bachelor’s degree in a related field. BS Computer Science, Information Systems, etc.
Job specific requirements:
- 1+ years Data Engineering/Modeling
- 3+ years Database Design
Data Solution Architect · LanceSoft Inc