Overview
Skills
Job Details
Data Integration Lead
Exp: Minimum 15+ Years of Experience is Must
Location: Austin Texas
Start Date : 10/15/2025
NOTE : This is HYBRID Role - 3 Days Onsite and 2 Days Remote
Only TX Candidates
TOP SKILLS :
- SSIS
- POWER BI
- SALESFORCE
- SNOWFLAKE
Technical Skills:
Data Integration Architecture & Strategy
- Designing data integration frameworks (batch vs real-time)
- API development and integration
- ETL (Extract, Transform, Load) processes
- Data Pipeline Development
- Building scalable and reliable data workflows
- Developing API-based data sharing and transformations
- Data Validation & Cleansing
- Implementing data quality checks
- Data reconciliation techniques
- Performance Optimization
- Tuning data workflows for efficiency
- Ensuring system scalability and reliability
- Monitoring & Logging
- Building monitoring tools for data processes
- Error handling, alerting, and exception management
- Data Governance & Security
- Ensuring compliance with security standards
- Adhering to data regulation and governance policies
- Documentation & Metadata Management
- Maintaining detailed documentation of data flows, mappings, and logic
Analytical & Design Skills :
- Data Modeling & Mapping
- Creating data mappings and transformation logic
- Strategic Planning
- Developing roadmaps for data integration initiatives
- Regulatory & Compliance Knowledge
- Understanding of Data Governance, Privacy, and Security Standards
Job Details : ( Please Focus Below details )
1. Develop data integration strategy, architecture, and roadmap (ex: batch vs real-time, API vs ETL)
2. Maintain documentation for data flows, mappings, and transformation logic for all workloads.
3. Ensure performance, scalability, and reliability of data movement processes.
4. Implement data validation, cleansing, and reconciliation processes.
5. Optimize data workflows for performance, scalability, and reliability.
6. Enforce data integration standards and best practices.
7. Develop data pipelines for internal, external data from wide variety of data sources.
8. Develop API based integrations, data sharing and data transformations.
9. Build data integration monitoring systems, logs, error and exceptions handling and alerts.
10. Ensure integration processes comply with data governance, security, and regulatory needs.
11. Strong communication, presentation skills, ability to work with business is required.
Minimum Requirements:
- Data Warehouse
- Data Engineering
- Data integration architecture
- ETL / ELT tool
- SQL Server or other RDBMS
- Developing Data pipelines
- Implementing Data quality framework, QA/QC
- SSIS
- Cloud data lake (ex: Snowflake)
- BI tools (ex: Power BI)
- API ( EX. Mulesoft)
- Real time pipelines Kafka, Python
- Data Lake house architecture
- Data handling (PII, HIPAA)
- Salesforce
- MS Access database, AWS Lamda, Kubernetes
- MS 365