Data Architect

Description:
The Data Architect proactively leads and supports our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams in alignment with architectural governance and standards. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and architecting them from the ground up.
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
Planning and execution of big data solutions using technologies
Defining and managing the flow of data and dissemination of information within the organization.
Integrating technical functionality, ensuring data accessibility, accuracy, and security.
Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build analytics tools that utilize the data pipelines to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Skills:
Data architecture, Sql, Python, Big data, Cloud, Google Cloud Platform, Data, Data modeling, Java, snowflake, NLP, machine learning
Additional Skills & Qualifications:
Degree in information technology or computer science with additional vendor-specific certification.
BS or MS degree in Computer Science or a related technical field. Master's Degree preferred.
8+ years of Python or Java development experience
8+ years of SQL experience (No-SQL experience is a plus)
8+ years of experience with schema design and dimensional data modeling
6+ years of experience architecting and designing complex data systems
Ability in managing and communicating data warehouse plans to internal clients
Experience designing, building, and maintaining data processing systems
Experience working with a cloud platform such as Snowflake / Azure or Databricks
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.

---