Job Description :
Job Title : Enterprise Data Architect
Duration : Full Time
Location : Austin, TX
Job Description :
The Enterprise Data Architect at Sciplay plays a transformational role in balancing the Strategic Enterprise objectives with operational constraints. This role is responsible for designing, maintaining and communicating scalable data solutions that enable the delivery of high-quality modern products and services. The Enterprise Cloud / Data Architect will influence and direct different teams to implement and deploy enterprise data models.
Responsibilities :
1. Assess current state business processes and supporting technical architecture, while gathering and defining solution requirements.
2. Collaborate with internal customers teams to implement processes, procedures, and technology that support newly engineered cloud data functions.
3. Design, develop, and architect ETL frameworks and solutions for modern cloud platforms - AWS, Azure, etc.
4. Design data flow and processing pipelines for ingestion and analysis using contemporary tools.
5. Lead teams in completing enterprise-scale cloud data and migration projects from a back end/data perspective.
6. Organize work into presentations, outlining findings and recommendations for C-level executives.
7. Contribute to the organization by developing and improving reusable methodologies and data/cloud solutions for operational efficiencies
8. Take ownership of technical solutions from design and architecture perspectives
9. Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution and adherence to architecture strategy.
10. Work with Data Engineers, Data Analysts, and Software Engineers to develop efficient, flexible data models across source systems, operational data stores, and analytics data stores.
11. Provide architectural direction to various teams and work streams, balancing the strategic approach within the agile framework
12. Ensure data management processes align with Enterprise data models
13. Work with business stakeholders to support the definition and implementation of necessary governance, change management, data stewardship and quality controls
14. Reports directly to the V.P of Global Data
1. 6+ years of experience in technology; 4+ years of experience in a technical architect capacity working with cloud and data technologies.
2. Strong preference for candidates with internal customer facing experience - technology solutions or management consulting.
3. Must have proven experience leading data/cloud migration projects in either AWS or Azure environments.
4. Comfortable scripting for automation using Python, PowerShell, Spark in Scala, etc.
5. Proficient in cloud data warehousing platforms like Snowflake.
6. Proficient with a variety of AWS (CloudForm Templates, EC2, S3) and Azure (Data Factory, Data Bricks) applications.
7. Experience installing and configuring databases using automation tools like Ansible.
8. Advanced SQL skills for use in trouble shooting data performance and quality issues.
9. Expert knowledge of standard methodologies, concepts, best practices, and procedures that align to a cloud-based data environment.
10. Complete understanding of visualization and full data layer architecture.
11. Bonus experience: CI/CD, AWS Redshift, S3, JSON, NoSQL, Big Data, and AWS stack.
12. Clear and effective communication of complex ideas and analysis
13. Ability to work with little direction, self-directed
14. Active learner, motivated to learn without guidance
15. Solutions oriented attitude of customer service
16. Critical thinking and creative problem solving
17. Leadership by influence
18. Strong written and verbal communication skills.
19. Is effective and persuasive in both written and oral communication
Please email your MS Word resume to and complete the skills-matrix below
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Total exp in data/cloud migration projects in either AWS or Azure environments:
Total Python, PowerShell, Spark in Scala exp: Pls Specify:
Total exp in Snowflake:
Total AWS (CloudForm Templates, EC2, S3 exp:
Total Azure (Data Factory, Data Bricks) applications exp:
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Expected Hourly Rate:
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