Azure Data Architect and Specialist

@irsolutions

With over 10 years of extensive experience in data architecture and specialized knowledge in Azure-based applications, I understand the key responsibilities outlined for the Azure Data Architect and Specialist role. You require a professional who can design and implement end-to-end data solutions while emphasizing security, scalability, and performance. My background includes not only a Bachelor's degree in Computer Science but also 8+ years of professional experience in data management and architecture roles. I have a proven track record of architecting solutions and data frameworks specifically on Azure cloud platforms, ensuring high-quality, well-documented, and easily maintainable data structures. Having worked on various projects championing best practices in data management and metadata frameworks, I am adept at collaborating with engineering and business teams to define and enforce data governance standards. I have the advanced expertise in SQL, data modeling, and Azure-native ETL/ELT tools like Azure Data Factory, Databricks, and Synapse Analytics. I am here to support your project as an Azure Data Architect and Specialist, empowering your team with innovative solutions and driving continuous improvement. Let's connect to discuss how we can elevate your data architecture and meet your organization's evolving needs.

@Mahihassi

Drawing on my strong background in building scalable backend systems and AI-powered platforms, I am confident in my ability to fulfill the responsibilities of an Azure Data Architect and Specialist with excellence. In fact, I've spent almost a decade developing intelligent applications that intertwine AI models, cloud infrastructure, and user-friendly dashboards - all of which are central elements to this role. Through leveraging my deep understanding of data security, privacy, and compliance standards within cloud environments, we can guarantee your organization's information is as safe as possible. I also bring a depth of knowledge in SQL and data modeling, complemented by advanced expertise in Azure-native tools, making me highly capable for architecting solutions and data frameworks to meet your evolving organizational needs. Beyond technical skills, my proven track record in developing secure, scalable, and high-performance applications aligns closely with your project description. My meticulous approach to designing backend architectures, combined with my experience in data governance, master data management, and metadata frameworks ensure not only solid solution design but also well-documented structures that are easily maintainable. Additionally, I'm keen to employ my mentoring skills to guide less experienced members within your team and encourage a culture of continuous improvement and innovation.

@Solutionzhere

Hi, this is a senior Azure Data Architect role, and we’ve delivered similar enterprise data platforms at SolutionzHere. We can lead end-to-end architecture (ADF + Databricks + Synapse), data modeling, governance, security (GDPR), and Graph API layer, plus mentor teams and drive migration/modernization. Rate: $60/hr (aligned with senior architect level) Availability: Immediate, long-term engagement We focus on scalable, secure, well-governed data ecosystems, not just pipelines. One key question: Are you currently running a lakehouse architecture (Databricks/Synapse) or starting from a traditional DW setup?

@manojmalviya93

Hello there, I have seen your Azure Data Architect and Specialist project and as per your description, I am confident to handle this. My specialization includes Azure which allows me to fully understand the requirements of your project and implement end-to-end data solution architectures for Azure. Although new challenges might arise, I am ready to tackle them head-on as my experience in various similar projects enables me to collaborate efficiently and produce top-tier outcomes. I am eager to commence working on this immediately and guarantee your issue can be resolved promptly. Thank you. Looking forward to hearing from you.

@Ekarthaan

Hi Rashmi N., Just last week I completed a similar task successfully, so I can get started on this without any ramp-up time. For the “Graph API framework,” do you need a GraphQL layer for the frontend, Microsoft Graph integration, or graph queries via Cosmos DB Gremlin—and what auth (Entra ID), latency SLOs, and query patterns are required? What are the key source systems, expected volumes/velocity (batch, CDC, streaming), and freshness SLAs, and who are the target consumers (BI, ML, operational apps) given any GDPR/data‑residency constraints? Suggestion 1: Standardize on a Lakehouse: ADLS Gen2 + Delta Lake with a Medallion (bronze/silver/gold) model; ADF for ingestion, Databricks for ELT, Synapse Serverless for ad‑hoc; Delta CDC, partitioning, Optimize/Z‑Order, and autoscaling to meet performance/cost targets. Suggestion 2: Enforce zero‑trust governance: Microsoft Purview for catalog/lineage and PII classification, Unity Catalog/Entra RBAC with PIM, Private Endpoints, Key Vault CMK, and Azure Policy guardrails; CI/CD via Bicep/Terraform, Monitor/Log Analytics observability; expose the API via APIM with Redis caching and throttling. Action Plan: Phase 0 – Discovery: current state, sources, SLAs, compliance. Phase 1 – Target Architecture: HLD/LLD, security baseline, capacity models, diagrams. Phase 2 – Foundation: landing zone, ADLS/Databricks/Synapse/ADF, Purview, Key Vault, APIM; IaC + CI/CD Best Regards, Sid

@alizain721

I know how painful it is when an Azure migration breaks pipelines and leaves you exposed on compliance and performance. I build architectures that stop that from happening. The best thing about me is I’ve worked on a very similar project recently… I led an end-to-end Azure implementation for a platform migrating legacy ETL into Azure Data Factory, Databricks, and Synapse, delivered data models and documentation, enforced encryption and RBAC with Key Vault and Azure AD, and exposed a Graph-style orchestration API for frontend queries with lineage tracking. I understand the expected user flow: ingest from sources, ETL/ELT in ADF/Databricks, semantic models in Synapse, governed metadata and lineage, and an orchestration layer presenting secure Graph endpoints. I’d design capacity models, CI/CD for pipelines, and clear diagrams so teams can operate and scale quickly. I work with SQL, Python, Power BI, Purview/metadata tools, and strong security controls. Quick questions: what are the primary source systems and expected daily data volume? Do you require Azure Purview or a specific metadata/lineage tool, and should the Graph API use Azure AD tokens and role-based access? If that sounds right, let’s chat or hop on a 15-minute call to align next steps. Regards Ali Zain!!

@dushyant317

With 10+ years in data architecture, I can design and implement secure, scalable Azure data platforms with robust ETL pipelines, governance frameworks, and end-to-end solution architecture. I’ll deliver a high-performance Azure-based data ecosystem with optimized data models, strong security compliance, and a well-documented architecture ready to support long-term growth and analytics.

@murtuza90

As an Azure Data Architect and Specialist, I believe I'm the ideal candidate to tackle this project. With ?????-??-??? ????????? experience ranging from UI/UX strategy to database design, I possess a deep understanding of what makes architectures scalable and performant. My 13+ years in the field gives me a unique perspective on how data management has evolved and a clear grasp on best practices. I have spent significant time architecting solutions and data frameworks on Azure cloud platforms for the past four years, making me well-versed with Azure-native tools like Azure Data Factory, Databricks, and Synapse Analytics. Additionally, I have a strong background in key pillars of your project such as security (including GDPR compliance), data governance, and data modeling – all vital for optimal solution design. Lastly, with regard to leadership and communication skills, I’m an adept mentor who can lead teams while implementing efficient data strategies. Moreover, my approach is not just focused on delivering features but building scalable systems that are future-ready. Let's connect to begin planning your seamless cloud migration or modernization initiative!