Data Architect

VeeRteq Solutions Inc

Irving, TX, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$82,082.0 - $193,440.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Continuous Integration Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Sharing Data Transformation Services Data Warehousing DevOps Python (Programming Language) Metadata

+14 more

Performance Tuning Query Optimization Standard Sql Enterprise Data Management Data Processing Data Ingestion Azure Data Factory Snowflake Change Data Capture Git Data Lineage Enterprise Integration Software Version Control Data Pipelines

Job description

Kindly share suitable profiles at the earliest to maximize consideration for this opportunity. Key Responsibilities

Design enterprise data architectures leveraging Snowflake and Coalesce.
Develop scalable and reusable data pipelines using ADF and Python.
Implement CDC frameworks and incremental data processing strategies.
Build metadata-driven and lineage-aware data transformation solutions.
Optimize Snowflake performance, scalability, and cost efficiency.
Establish data governance, data quality, and monitoring frameworks.
Collaborate with business stakeholders, architects, and engineering teams to define data strategies.
Implement CI/CD deployment processes using Git and DevOps best practices.
Support data integration across multiple source systems and cloud platforms.
Drive architecture reviews and technical best practices across data programs., * Coalesce Transform
Coalesce Catalog
Coalesce Quality
Metadata-Driven Data Pipelines
Data Lineage and Impact Analysis
Snowflake Integration
Git-Based Deployment and Version Control

SQL

Advanced SQL Development
Complex Joins
CTEs and Recursive Queries
Window Functions
Analytical and Reporting Queries
Query Optimization and Performance Tuning

Python

API Integration and Data Ingestion
Data Processing and Transformation
Workflow Automation
ETL/ELT Framework Development
Error Handling and Monitoring

CDC (Change Data Capture)

CDC Architecture and Design
Delta Load Processing
Timestamp-Based Incremental Loads
Snowflake Streams-Based CDC
Real-Time and Batch Data Processing

Azure Data Factory (ADF)

Pipeline Development
Data Orchestration
Parameterization
Monitoring and Troubleshooting
Integration Runtime Configuration
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Requirements

Snowflake Data Warehouse Architecture
Streams & Tasks
Dynamic Tables
Data Sharing
Incremental Data Processing
Performance Tuning and Optimization
Snowflake Security and Access Controls, * 10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
5+ years of hands-on Snowflake experience.
Strong experience implementing Coalesce-based transformations and data modeling.
Proven expertise in CDC and incremental processing frameworks.
Experience designing modern cloud-native data architectures.
Experience with Git-based deployment and CI/CD practices.
Strong understanding of Data Governance and Data Quality frameworks.