Data Integration Architect – Enterprise Data Platforms NEW

We are seeking a highly skilled

Senior Data Engineer

with strong expertise in

data integration, ETL/ELT, and cloud data platforms . The ideal candidate will design and build scalable data pipelines, develop integration strategies, and ensure high-quality, reliable data movement across enterprise systems.
Key Responsibilities:

Define and implement

data integration strategy, architecture, and roadmap

(batch vs real-time, API vs ETL)
Design, develop, and maintain

scalable data pipelines

for internal and external data sources
Build and manage

ETL/ELT processes

using tools such as SSIS and modern data platforms
Develop

API-based integrations

and data transformation workflows
Ensure

data quality

through validation, cleansing, and reconciliation processes
Optimize data workflows for

performance, scalability, and reliability
Implement

monitoring, logging, error handling, and alerting mechanisms

for data pipelines
Maintain documentation for

data flows, mappings, and transformation logic
Ensure compliance with

data governance, security, and regulatory standards (PII, etc.)
Collaborate with business and technical stakeholders to understand data requirements and deliver solutions
Required Qualifications:

7+ years

of experience in

Data Engineering and Data Integration
Strong expertise in

Data Warehousing concepts and architecture
Hands-on experience with

ETL/ELT tools (SSIS preferred)
Strong proficiency in

SQL Server or other RDBMS
Experience building and maintaining

data pipelines
Experience implementing

data quality frameworks (QA/QC)
Hands-on experience with

cloud data platforms (e.g., Snowflake)
Experience with

BI tools (e.g., Power BI)
Experience with

API integrations (e.g., MuleSoft)
Strong communication and stakeholder management skills
Preferred Qualifications:

Experience with

real-time data pipelines (Kafka, Python)
Knowledge of

Data Lakehouse architecture
Experience handling

sensitive data (PII, HIPAA compliance)
Exposure to

Salesforce integrations
Familiarity with

AWS (Lambda), Kubernetes, or containerization tools
Experience with

Microsoft 365 and MS Access

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