Openin for Data Integration Leadin Austin TX - HYBRID Role - 3 Days Onsite and 2 Days Remote

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

SSIS
POWER BI
SALESFORCE
SNOWFLAKE
Data Integration
ETL
Data Lake house architecture
AWS Lamda
Kubernetes
Mulesoft
RDBMS
SQL
Kafka
Python
PII
HIPAA

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:


  1. Data Integration Architecture & Strategy
  • Designing data integration frameworks (batch vs real-time)
  • API development and integration
  • ETL (Extract, Transform, Load) processes
  1. Data Pipeline Development
  • Building scalable and reliable data workflows
  • Developing API-based data sharing and transformations
  1. Data Validation & Cleansing
  • Implementing data quality checks
  • Data reconciliation techniques
  1. Performance Optimization
  • Tuning data workflows for efficiency
  • Ensuring system scalability and reliability
  1. Monitoring & Logging
  • Building monitoring tools for data processes
  • Error handling, alerting, and exception management
  1. Data Governance & Security
  • Ensuring compliance with security standards
  • Adhering to data regulation and governance policies
  1. Documentation & Metadata Management
  • Maintaining detailed documentation of data flows, mappings, and logic

Analytical & Design Skills :

  1. Data Modeling & Mapping
  • Creating data mappings and transformation logic
  1. Strategic Planning
  • Developing roadmaps for data integration initiatives
  1. 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:

  1. Data Warehouse
  2. Data Engineering
  3. Data integration architecture
  4. ETL / ELT tool
  5. SQL Server or other RDBMS
  6. Developing Data pipelines
  7. Implementing Data quality framework, QA/QC
  8. SSIS
  9. Cloud data lake (ex: Snowflake)
  10. BI tools (ex: Power BI)
  11. API ( EX. Mulesoft)
  12. Real time pipelines Kafka, Python
  13. Data Lake house architecture
  14. Data handling (PII, HIPAA)
  15. Salesforce
  16. MS Access database, AWS Lamda, Kubernetes
  17. MS 365
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.