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TEKsystems Data Strategy Principal Architect in Austin, Texas

Description:

About TEKsystems Global Services We partner with progressive leaders to create opportunity, accelerate business transformation and help build the enterprises of tomorrow. We work with 80% of the Fortune 500 to address their technology, strategy, and talent needs. We innovate so industries stay ahead of what’s next. As a full stack technology and talent services provider, we partner with our customers across the globe to own change. Join us. Role Description At TEKsystems Global Services, we live in the tech world. We’re out in front of the trends and tools that shape industry and create fresh opportunities. All-in, fully engaged, high energy partnership is how we approach everything – our commitments and our people. Our people are at the center, fueling our high-performance and our inclusive culture. We’re doers, looking for doers who do the right thing. Roll-up your sleeves thought-leaders focused on creating possible. Team champions who declare success only when everyone achieves their ambitions. Sound like the career experience you’ve been searching for? We’re looking for a Data Strategy Principal Architect to join our team. A practitioner who accelerates outcomes, affects positive change, and moves business forward. Let’s partner. Together, we can accomplish amazing things. Here’s what the opportunity requires The Data Strategy Principal Architect possesses 15+ years’ experience in data analytics space and is responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization. The Data Strategy Principal Architect does the assessment of customer’s current data landscape and provide vision, future state roadmap and implementation plan. The candidate must demonstrate excellent communicate skills, conducting the presentations to C level executives with effective story telling skills on how data strategy is going solve customer’s business problem. The candidate will have extensive knowledge of working with data analytics platforms (on prem and cloud). The principal architect must work with the Business Analysts, customer’s stakeholders, and Technical SMEs to understand the business requirements/goals to form up a comprehensive data strategy and data architecture. Depending on the specific structure of the development organization, the principal architect may also be considered a Data Warehouse Architect, in cooperation with the ETL Technical Architect. This role involves developing the overall Data Warehouse logical architecture, specifically the configuration of the data warehouse, data marts, and an operational data store or staging area if necessary. Will responsible for understanding challenges in data quality, data management, data governance, data stewardship and provide a solution how to overcome those challenges. Responsibilities: • Designs an information strategy that maximizes the value of data as an enterprise asset • Develops vision document, current state assessment and provide future state recommendations • Good in performing effort estimations for post assessment engagement. • Able to understand business use cases that emphasize on leveraging data for solving business problems • Able to quantify the ROI/ TCO as part of the vision and assessment document by modernizing data strategy and platform • Conducts workshop sessions with stakeholders, business and technical users • Follow methodological approach in gathering the current state assessment • Develops and communicates data standards • Maintains Data Quality metrics • Plans architectures and infrastructures in support of data management processes and procedures • Effectively communicates with other technology and product team members • Extremely knowledgeable on at least one cloud platform – AWS or Azure. • Extremely knowledgeable about design patterns, anti-patterns for implementing data strategy. • Good knowledge in working lake house architecture (data lake + data + data warehouse) in cloud environment. • Knowledge of cloud data platform such as Snowflake or Azure Synapse is required • Able to do back off between various cloud data platform options. • Have awareness about AI and machine learning use cases of the industries – Manufacturing, Finance, Healthcare etc. Qualifications/Certifications • Strong understanding and building solutions for data integration, data architecture, data governance, master data management • Understanding of multiple data architectures that can support a lake house architecture (Data Lake + Data Warehouse) • Ability to translate functional requirements into technical design specifications • Ability to develop technical design documents and test case documents • Possesses excellent communications skills • Experience in optimizing data loads and data transformations • Industry vertical experience is essential • Project Solution experience is desired • Has had some exposure to Project Management • Strong Business Analysis and problem-solving skills • Familiarity with Enterprise Architecture Structures and Development Methodologies • Extremely knowledgeable on at least one cloud platform – AWS or Azure. • Extremely knowledgeable about design patterns, anti-patterns for implementing data strategy. • Knowledge of cloud data platform such as Snowflake or Azure Synapse is required • Able to do back off between various cloud data platform options. Recommended Expertise • Have successfully participated at many Data Analytics (data lake + data warehouse) Development projects • Data Modeling with Multiple DBMS, relational and multidimensional • Certifications in Cloud technology – AWS, Azure, Snowflake We offer following benefits: • Medical, Dental & Vision • Health Savings • Paid Time-Off • Short & Long-Term Disability • Dependent Care Flexible Spending Account • Transportation Benefits • 401(k) • Life & AD&D & Supplemental Life

Skills:

Data architecture, Data lakes, Data warehouse, Data Solutions, Data Integration, Data Cloud, Data Cloud Architect

Top Skills Details:

• Strong understanding and building solutions for data integration, data architecture, data governance, master data management • Understanding of multiple data architectures that can support a lake house architecture (Data Lake + Data Warehouse) • Ability to translate functional requirements into technical design specifications Recommended Expertise • Have successfully participated at many Data Analytics (data lake + data warehouse) Development projects • Data Modeling with Multiple DBMS, relational and multidimensional • Certifications in Cloud technology – AWS, Azure, Snowflake • Ability to develop technical design documents and test case documents

Additional Skills & Qualifications:

Excellent Communication Skills

Experience Level:

Expert Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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