Data Architect

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:

• Assess current state business processes and supporting technical architecture, while gathering and defining solution requirements.
• Collaborate with internal customers teams to implement processes, procedures, and technology that support newly engineered cloud data functions.
• Design, develop, and architect ETL frameworks and solutions for modern cloud platforms – AWS, Azure, etc.
• Design data flow and processing pipelines for ingestion and analysis using contemporary tools.
• Lead teams in completing enterprise-scale cloud data and migration projects from a back end/data perspective.
• Organize work into presentations, outlining findings and recommendations for C-level executives.
• Contribute to the organization by developing and improving reusable methodologies and data/cloud solutions for operational efficiencies
• Take ownership of technical solutions from design and architecture perspectives
• Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution and adherence to architecture strategy.
• 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.
• Provide architectural direction to various teams and work streams, balancing the strategic approach within the agile framework
• Ensure data management processes align with Enterprise data models
• Work with business stakeholders to support the definition and implementation of necessary governance, change management, data stewardship and quality controls
• Reports directly to the V.P of Global Data

Qualifications: 

• 6+ years of experience in technology; 4+ years of experience in a technical architect capacity working with cloud and data technologies.
• Strong preference for candidates with internal customer facing experience – technology solutions or management consulting.
• Must have proven experience leading data/cloud migration projects in either AWS or Azure environments.
• Comfortable scripting for automation using Python, PowerShell, Spark in Scala, etc.
• Proficient in cloud data warehousing platforms like Snowflake.
• Proficient with a variety of AWS (CloudForm Templates, EC2, S3) and Azure (Data Factory, Data Bricks) applications.
• Experience installing and configuring databases using automation tools like Ansible. 
• Advanced SQL skills for use in trouble shooting data performance and quality issues.
• Expert knowledge of standard methodologies, concepts, best practices, and procedures that align to a cloud-based data environment.
• Complete understanding of visualization and full data layer architecture.
• Bonus experience: CI/CD, AWS Redshift, S3, JSON, NoSQL, Big Data, and AWS stack.
• Clear and effective communication of complex ideas and analysis
• Ability to work with little direction, self-directed
• Active learner, motivated to learn without guidance
• Solutions oriented attitude of customer service
• Critical thinking and creative problem solving
• Leadership by influence
• Strong written and verbal communication skills.
• Is effective and persuasive in both written and oral communication