Data Architect
First seen by Alion on Oct 13, 2026.
KANINI is looking for an experienced Data Architect to lead enterprise data architecture, data modeling, and cloud data modernization initiatives.
The ideal candidate will have strong expertise in designing scalable data ecosystems, defining data strategies, and aligning technology solutions with business objectives.
Experience in Healthcare is preferred, while BFSI and Retail domain experience will be an advantage.
Key Responsibilities:
- Design enterprise data architectures, including data lakes, data warehouses, and lakehouse platforms.
- Develop conceptual, logical, and physical data models to support business and analytics requirements.
- Define enterprise data standards, metadata strategies, and data management frameworks.
- Lead cloud data platform implementations and modernization initiatives.
- Collaborate with engineering, analytics, and application teams to align data architecture with business goals.
- Establish data governance, quality, security, lineage, and compliance standards.
- Optimize data architecture for scalability, performance, and cost efficiency.
- Define data roadmaps and modernization strategies for enterprise clients.
- Support RFP/RFI responses, solution proposals, and client presentations.
- Provide architectural guidance and technical leadership across data initiatives.
Required Skills & Qualifications:
- 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Strategy.
- Strong expertise in conceptual, logical, and physical data modeling.
- Experience with dimensional modeling, including Kimball and Inmon methodologies.
- Hands-on experience with cloud data platforms such as Azure Synapse, Azure Data Lake, Databricks, AWS Redshift, Snowflake, or BigQuery.
- Strong proficiency in SQL, Python, and ETL/ELT frameworks.
- Knowledge of batch processing, real-time data streaming, and structured and unstructured data.
- Understanding of data governance, master data management (MDM), metadata, lineage, and data catalog tools.
- Experience with Azure Data Factory, Databricks, Airflow, AWS Glue, NiFi, or similar technologies.
- Excellent communication, stakeholder management, and documentation skills.
Good to Have:
- Healthcare domain experience; BFSI or Retail experience is an advantage.
- Knowledge of Data Vault modeling.
- Experience in client-facing architecture, RFP/RFI solutioning, and data strategy presentations.
Why Join KANINI?:
- Work with global enterprises on large-scale data modernization initiatives.
- Lead innovative projects across Cloud, Data, AI, and enterprise technology.
- Grow in a collaborative, inclusive, and learning-focused environment.
- Take ownership of architecture strategy and client-facing solutions.
Skills
Data Modeling, Data Governance, Data Architect, Data Warehousing, SQL, Python, Analytics