Senior Data Architect

wow Softech Pvt Ltd; Irving (TX); On-site; USD 95,000 - 135,000; Full time

Job summary

A leading company in data solutions is seeking a Senior Data Architect to manage and enhance their data strategy and infrastructure. This role includes designing data governance frameworks, overseeing reporting and analytics projects, and leading teams to deliver effective data-driven solutions. Ideal candidates will have a strong background in data architecture and experience with cloud technologies like Azure.

Qualifications

• Strong knowledge of database technologies and data governance.
• Ability to lead data architecture projects.
• Experience with machine learning models and AI technologies.

Responsibilities

• Develop and maintain data architecture plans aligned with business objectives.
• Establish and enforce data governance policies ensuring data quality.
• Mentor junior associates and lead full stack development teams.

Skills

Data Modeling

Data Governance

Data Architecture

Data Integration

Team Leadership

Communication

Education

BS in Computer Science

Tools

Azure Modern Data Platform

SQL Server

Power BI

Azure ML

Python

Job description

Senior Data Architect

Full Time

Irving, TX, US

MELBOURNE, FL, US

About the role Senior Data Architect.

Are you an experienced Data Architect with a passion for building and enhancing data driven solutions? We are looking for a hands-onSenior Data Architectto help organize the strategic vision of our data strategy and provide technical expertise in designing, implementing, building and managing our reporting, analytics, and data infrastructure capabilities. This role involves leading and managing teams dedicated to building reports & BIs, defining, changing, and establishing data governance and data architecture frameworks, collaborating with cross functional teams, ensuring data quality, security, and compliance. This role will be the primary point of contact to work with the Data & Analytics function of the company to ensure that Data Governance & Strategy is aligned for the entire company with clear responsibilities, best practices, and disciplined development practices.

Key Responsibilities

• Data Architecture Design:develop and maintain data architecture plans that align with business growth objectives and technical requirements while maintaining world class performance standards.
• Data Modeling:design and implement data models for relational databases, data warehouses, and data lakes.
• Data Governance:establish and enforce data governance policies and standards, ensuring data quality, security, compliance, and a complete data dictionary with clear sources of truth.
• Data Integration:design and implement data integration processes including third party data management and vendor relationships.
• Business Intelligence:collaborate with business stakeholders to understand the reporting and analytics needs and produce the necessary solutions to provide insights.
• Data Security:implement security measures to protect sensitive data and prevent unauthorized access.
• Team Leadership:mentor junior associates and provide guidance and support. Lead full stack development teams to deliver reports, BIs, and other reporting and analytics driven projects.
• Communication:clearly communicate technical concepts to both technical and non-technical stakeholders.
• Vision:stay current and informed about emerging trends in data technologies and best practices.

Qualifications & Skills

• Strong knowledge of database technologies, data modeling, data warehousing, and data governance.
• Ability to analyze complex data requirements and translate them into effective solutions.
• Ability to lead and manage data architecture projects, including planning, execution, and resource allocation.
• Ability to identify and resolve complex data related issues.
• Software (SaaS) experience.
• Experience implementing Machine Learning models including AI technologies and the application of data science.

Education:

• BS in Computer Science or related data discipline(s).

Core:

• Azure Modern Data Platform
• SQL Server (T-SQL and DBA)
• KQL Azure Data Explorer, Azure Monitor and other Microsoft Services
• Data Analytics stack (SSIS, SSAS, SSRS)
• Power BI
• DAX
• Azure Synapse

Supporting:

• Azure ML
• Azure infrastructure
• R
• Python
• PowerShell
• Hadoop
• Data Factory

Principles:

• Data Modeling
• Data Warehouse Theory
• Data Architecture
• Master Data Management
• Data Science

Good to Have Skills:

• Database engineering/management
• Cloud native database solutions
• Infrastructure-as-code and transformation tools
• Data modeling for both rational and NoSQL databases
• Cloud technologies and hosting experience (including private cloud)
• Should have experience in code repository management using ADO, TFS, Visual studio online, Git, SVN etc.
• Hands-on experience on MS Azure Services with Developing, Deploying and configuring Azure Web Apps, Azure App Services using Visual Studio, experience in cloud migration and integration, Experience in building solutions using Event Hub, Service Bus.