Cloud Data Architect

Key Skills

Aartificial intelligence, Ansible, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Visualization, Git, Google Cloud Platform (GCP), Machine learning techniques, RDBMS

Job Description

Key Responsibilities:

• Build, own and run data engineering pipelines, workflows and standardized practices for delivering new products and capabilities using Data and Cloud technologies, including data transformation, processing and analysis.
• Participate in all aspects of Data solution delivery life cycle using both on-prem data technologies and public cloud (GCP, AWS, Azure)
• Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)
• Design, deployment, and management of secure and compliant enterprise infrastructure and cloud architectures using Infrastructure-as-Code.
• Deliver against the strategic roadmap for cloud analytics architecture.
• Facilitate discovery workshops, articulate the value proposition, build solution architecture with an associated roadmap, and communicate business value to clients.
• Establish best practices and consistency across various Data on Cloud solutions. Design and build highly reusable and scalable cloud-native data and AI ecosystems.
• Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions.
• Troubleshoot production issues within the Hadoop environment and Cloud.
• Perform optimization and tuning of data workflow processes and applications.
• Love solving complex problems, be up-to-date on the latest technology trends and have a strong desire to learn constantly.

Required Skills and Experience

• Bachelor’s in Computer Science, Engineering Management Information Systems, or Computer Information Systems is required.
• 10+ Years’ Experience – at least 4 years in a Cloud Solution and Data Architecture role
• 5 years' experience in developing data pipelines and workflows in GCP data platforms, services and applications (Pub/Sub, Storage, Dataflow, Dataproc BQ, Airflow, Composer)
• 5 years of CI/CD deployment, code management platform GitHub, building and coding applications using Hadoop components - HDFS, Hive, Impala, Sqoop, Flume, Kafka, StreamSets, HBase, etc.
• Proven experience in coding Scala / Spark, Spark Streaming, Java, Python, HiveQL.
• Experience in traditional ETL tools & Data Warehousing architecture.
• Strong interpersonal and excellent written and verbal communication skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.
• Must be proficient in SQL/HiveQL and programming language (Java/Python)

Preferred Qualifications:

• Deep understanding of techniques used in creating and serving schemas at the time of data consumption
• Advanced Cloud data technologies in ML space (Vertex AI, BQ-ML etc)
• Experience in AWS/Azure data platforms
• Experience in data visualization tools such as Google Looker, Microstrategy
• Past experience using Maven, Git, Jenkins, Se, Ansible or other CI tools preferred
• Experience in Exadata and other RDBMS preferred.
• Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, analytics, data visualization).
• Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum)
• Experience working with multiple clients and projects at a time.

Skills:

• Solution Analysis
• Solutions Architecture
• Cloud Computing
• Requirements Analysis
• Telecommunications

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.