Lead Consultant Data Architecture & Engineering (GDC) | Remote

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<strong>Work Setup:</strong>Remote<strong></strong>
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<strong>Schedule:</strong>Midshift</h3><h3></h3><h3><strong>Job Highlights:</strong></h3><ul>
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<strong>Leadership Opportunities</strong>- This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision- making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership all while remaining hands-on in your areas of expertise.</li>
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<strong>Our technology focus is on Azure</strong>- you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.</li>
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<strong>Microsoft Partnerships -</strong>Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You wont find this at other places.</li>
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<strong>Competitive compensation package</strong>, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.</li>
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<strong>Great working environment</strong>and<strong>company culture</strong>with<strong>flexible work location.</strong>
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</ul><h3></h3><h2>General Required Technical Skills:</h2><ul>
<li>Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).</li>
<li>Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments</li>
<li>Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data</li>
<li>Experience with multiple full life-cycle data warehouse implementations</li>
<li>Understanding of data architectures required to support data integration processing</li>
<li>Experience with data modeling technologies such as ER/Studio, ER/Win or similar</li>
<li>Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs</li>
<li>Demonstrated ability to quickly learn, adopt and apply new technologies</li>
<li>Data profiling and creation of source to target mappings</li>
<li>Ability to provision and configure Azure data service resources</li>
</ul><h2>Detailed Required Skills:</h2><ul>
<li>Python &amp; SQL Scripting</li>
<li>SQL, PySpark</li>
<li>General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines</li>
<li>API Knowledge is required, but preference given to candidates who can create APIs</li>
</ul><h2>Preferred Experience/Skills/Certifications:</h2><ul>
<li>Microsoft Fabric</li>
<li>Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory</li>
<li>Experience creating strategies to migrate customers from on-premise environments to Azure</li>
<li>Power BI and semantic modeling</li>
<li>AWS Glue &amp; Azure Data Factory</li>
<li>AWS S3 &amp; Azure Blob</li>
<li>AWS Athena &amp; Azure Databricks</li>
<li>AWS Redshift &amp; Azure Synapse</li>
<li>AWS ECS &amp; Azure AKS</li>
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