Lead Consultant, Data Architecture and Engineering

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September 17

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TASQ Staffing Solutions

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B2B • Recruitment • HR Tech

TASQ Staffing Solutions is a staffing solutions provider founded by experts with over 70 years of collective experience in the industry. They specialize in talent acquisition, offering services that include executive hiring, mid-level role placement, entry-level recruitment, and technical recruitment. TASQ is committed to helping companies fill their manpower needs effectively across all levels and industries, ensuring they can attract the best talent to remain competitive in a global economy.

11 - 50 employees

🤝 B2B

🎯 Recruiter

👥 HR Tech

📋 Description

• Leadership Opportunities - 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. • Our technology focus is on Azure - 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. • Microsoft Partnerships - 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. • Six months of experience on our team is worth years somewhere else.

🎯 Requirements

• at least four years of data architecture leadership experience is needed • 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). • Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments • Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data • Experience with multiple full life-cycle data warehouse implementations • Understanding of data architectures required to support data integration processing • Experience with data modeling technologies such as ER/Studio, ER/Win or similar • 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 • Demonstrated ability to quickly learn, adopt and apply new technologies • Data profiling and creation of source to target mappings • Ability to provision and configure Azure data service resources • Detailed Required Skills: Python & SQL Scripting • SQL, PySpark • General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines • API Knowledge is required, but preference given to candidates who can create APIs

🏖️ Benefits

• Competitive compensation package , salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration. Great working environment and company culture with flexible work location.