Solution Architect with Azure

Sibitalent Corp; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Sibitalent Corp. is seeking a seasoned Solution Architect with 15+ years in data engineering and cloud platforms. You will define enterprise data strategy, architect scalable Azure-based solutions, and drive transformational data initiatives.

Strong leadership and cross-functional collaboration are essential to translate business needs into future-ready architectures. You will lead architecture discussions, govern security controls, and mentor teams while advancing data modernization across

Qualifications

• 15+ years of experience in Data Engineering, Cloud Data Platforms, Analytics, and Digital Transformation.
• Define enterprise data strategy and architect scalable cloud solutions.
• Lead architecture discussions with senior stakeholders to translate needs into scalable solutions.
• Drive Azure cloud transformation and migration initiatives using Azure SQL, ADLS, Synapse.
• Establish architecture standards, governance, security controls, and best practices.
• Mentor teams on architecture implementation, performance, and risk mitigation.

Responsibilities

• Define end-to-end data platform architectures including Data Lakehouse and Data Warehouse.
• Lead architecture reviews and ensure compliance with enterprise standards and security.
• Drive real-time and batch data processing designs and optimizations.
• Provide technical leadership in reviews, PoCs, and proposal development.
• Partner with business and delivery teams to shape roadmaps and initiatives.
• Guide DevOps, observability, and CI/CD across cloud data platforms.

Skills

Solution Architecture

Azure Cloud

Stakeholder Leadership

Data Platform

ETL/ELT

DevOps / CI/CD

Cloud-Native Architectures

Tools

Azure Databricks

Azure Data Factory

ADLS

Azure Synapse

Job description

Solution Architect with 15+ years of experience in Data Engineering, Cloud Data Platforms, Analytics, and Digital Transformation. The role involves defining enterprise data strategy, architecting scalable cloud solutions, driving technology roadmaps, engaging with senior stakeholders, and leading successful delivery of large-scale data modernization initiatives.

Roles, Responsibilities & Skill

• sDefine end-to-end solution architecture for enterprise Data Platforms, Data Lakehouse, Data Warehouse,SQL, Tera Data, Data Stage, Analytics, and AI/ML ecosystems on Azure Cloud
• .Lead architecture discussions with business and technology stakeholders to translate business needs into scalable, secure, and future-ready solutions
• .Drive cloud transformation and migration initiatives leveraging Azure c Azure SQL, ADLS, Synapse, and related technologies
• .Establish architecture standards, governance frameworks, security controls, and best practices across programmes and projects
• .Design high-performance, scalable data ingestion, ETL/ELT, real-time, and batch processing architectures
• .Provide technical leadership in solution design, estimation, technical reviews, proof-of-concepts, and proposal development
• .Define enterprise data management strategies including Data Governance, Data Quality, Metadata Management, Master Data Management, and Security Compliance
• .Partner with business leaders, enterprise architects, analysts, and delivery teams to define technology roadmaps and prioritise strategic initiatives
• .Drive DevOps, CI/CD, automation, observability, and operational excellence across cloud data platforms
• .Guide development teams on architecture implementation, technical decisions, performance optimisation, and risk mitigation
• .Lead architecture reviews and ensure compliance with enterprise standards, security requirements, and regulatory guidelines
• .Evaluate emerging technologies and provide recommendations for innovation and continuous improvement
• .Mentor Technical Leads, Engineers, and Architects while driving organisation-wide capability development and architecture maturity
• .Strong expertise in Azure Databricks, PySpark/Scala, Azure Data Factory, ADLS, Data Modelling, Distributed Data Processing, and Cloud-Native Architectures
• .Excellent stakeholder management, consulting, presentation, and leadership skills with experience managing executive-level customer engagements
• .Proven experience delivering large-scale enterprise cloud transformation and data modernisation programmes