As an Azure Data Architect at Programmers.io, you will play a pivotal role in shaping our data strategy and delivering top-notch solutions to our clients.
Responsibilities
- Client Workshops & Due Diligence. Conduct client workshops and participate in due diligence exercises to define data strategies and roadmaps aligned with their business and IT strategies.
- Pre-Sales Involvement. Engage heavily in pre-sales activities, including qualifying pursuits, leading pursuits, collating questionnaires, collaborating with the team for responses, and conducting review sessions with senior leadership. Retrofit responses with solutions and develop commercials with various pricing models/options. Participate in orals presentations.
- Solution Evangelism. Advocate for solutions through assessment exercises, proofs of concept (PoCs), proofs of value (PoVs), tool comparisons, and evaluations. Your experience should span a wide range of solutions in cloud/big data platforms, BI & analytics, across domains such as retail, CPG, and logistics.
- Data Monetization. Define concepts for monetizing data through analytics, utilizing various propositions and analytics life cycles including descriptive, predictive, and prescriptive models.
- Big Data & Cloud Solutions. Provide solutions in big data platforms, big data analytics, enterprise data warehousing (EDW), and business intelligence (BI) project engagements for major clients across the USA, Europe, and Australia. Develop architecture solutions for Fortune 100 clients.
- Cloud Platforms. Build big data solutions on cloud platforms like AWS, Azure, and Google Cloud. Evaluate various cloud technologies.
- Open-Source Tools. Demonstrate knowledge of open-source tools and technologies.
- Data Management Expertise. Exhibit strong experience in data management platforms, including ETL/ELT, BI tools, master data management (MDM), visualizations, data virtualization tools, multi-dimensional models, data modeling/dimensional modeling, data analytics, NoSQL databases, transactional databases, statistical models, and machine learning. Familiarity with analytics workbench, data science architecture, cloud architectures, and DevOps/DataOps/MLOps frameworks is essential.
- Data Governance. Provide solutions with data governance practices, including data quality, security, lineage, data life cycle management, catalog/metadata management, and business glossary.
- Asset Creation. Create valuable and reusable assets for the technology consulting group, contributing to several successful engagements.
- Gen-AI Technologies. Stay updated and well-trained in Gen-AI related technologies.
Experience Level
- SQL. 10+ years
- Azure Synapse. 2+ years
- Data Warehousing. 5+ years
- Pre-Sales/Proposal Development. 2+ years
- Apache Spark or Databricks. 2+ years
- Overall Experience with Database Design and Development. 15 years
Certifications Preferred. Azure Data Architect
How to Apply
If you are interested in this exciting opportunity, please send your resume to Akhila Kadudhuri at [email protected].