Data Architect

Key Skills

Amazon Simple Storage Service (S3), Analytical and Problem solving, AWS, AWS Glue, Big Data Technology, Data Analytics, Data Architecture, Data Migration, Database, Effective communication skills, Lambda, Machine learning techniques, PostgreSQL, Python Programming, SQL

Job Description

Your future duties and responsibilities:

Develop with Cloud Native Data Services:

• Leverage extensive experience in cloud-native data services, particularly AWS offerings such as AWS Aurora PostgreSQL, AWS Redshift, AWS S3, AWS EMR, Tableau, Alation, and Pentaho.
• Architect and implement data solutions using these services to support diverse data processing, analytics, and reporting requirements.

Implement Solutions Using Star/Snowflake Schemas:

• Demonstrate proficiency in designing and deploying data models utilizing Star and Snowflake schemas for Data Warehousing.
• Apply expertise in Data Lake and Data Mesh technologies, showcasing your ability to create and maintain scalable, adaptable data storage, and processing solutions.

Translate Business Requirements:

• Exhibit a track record of translating intricate business requirements into detailed technical specifications, encompassing data access patterns, data streams, integrations, transformations, and robust database and data warehouse designs.
• Collaborate effectively with business stakeholders to ensure that technical solutions align seamlessly with business objectives.

Develop Proof of Concepts:

• Showcase a history of independently conceiving and executing proof of concepts (PoCs) to assess the viability of emerging data technologies, data models, or innovative data processing approaches.
• Display the ability to work autonomously, demonstrating initiative and problem-solving prowess when addressing complex data challenges.

Understand Predictive Modeling and Machine Learning:

• Possess knowledge and comprehension of predictive modeling and machine learning principles, including their practical application to gauge and enhance end-user experiences.
• Familiarize yourself with pertinent tools and libraries commonly employed in predictive modeling and machine learning projects.

In addition to the qualifications mentioned above, candidates for this role should also possess:

• Strong analytical and problem-solving skills.
• Exceptional communication skills, enabling effective interaction with cross-functional teams, stakeholders, and leadership.
• Demonstrated experience with data governance and expertise in implementing data security best practices.
• Familiarity with data visualization tools and best practices.

Required qualifications to be successful in this role:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• AWS certifications related to data and analytics, including AWS Certified Data Analytics - Specialty, are mandatory.
• Proven track record as a Data Architect with a specialization in Microservices and AWS technologies.
• In-depth knowledge of AWS services such as AWS Aurora PostgreSQL, AWS Glue, AWS Redshift, Amazon S3, AWS Lambda, among others.
• Strong expertise in data modeling, ETL processes, and data warehousing.
• Proficiency in SQL, Python, or other relevant programming languages.
• Excellent problem-solving skills and the ability to excel in a collaborative, cross-functional environment.
• Outstanding communication and interpersonal skills.

Due to the nature of the government contracts this position requires US Citizenship or Green Card Holder.

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to: skill set level; experience and training; and licensure and certifications. CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $148,700-200,000.

Skills:

• Amazon Relational Database Svc
• Big Data & Analytics Operation
• Data Architecture
• Data Migration
• Database Administration

What you can expect from us:

Insights you can act on

While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees “members” because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today — one of the world’s largest independent providers of IT and business consulting services.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.