Senior Cloud Data Architect - Remote Work Mode

Primary Responsibilities:
Lead the Design development and implementing of data warehouses in a cloud based data environment that integrates with an overall data architecture.
Work closely with business stakeholders to interpret their data needs and translate them into technical requirements.
Have a good understanding of data governance and develop & implement data governance policies and procedures.
Ensure data quality and integrity by implementing data testing and validation processes.
Deploying and debugging cloud data initiatives as needed in accordance with best practices throughout the development lifecycle.
Managing cloud data environments in accordance with company security guidelines.
Lead the design and build of reusable repeatable solutions and components for future use.
Lead and mentor a team of data engineers to implement your solution designs
Stay abreast of current and emerging trends and technologies in the data and AI/ML field. Educate delivery teams on the implementation of new cloudbased data analytics initiatives providing associated training as required.
Partner with Delivery and Support teams to find opportunities to reduce manual effort needed to complete deployments.
Consult on Professional Services Engagements to help our customers design and implement data warehouse solutions. Lead and develop best practices for the larger data analytics delivery team.
Provide client presentations to review project design outcomes and recommendations.
Employ exceptional problemsolving skills with the ability to see and solve issues before the snowball into problems.
Lead the orchestration and automation cloudbased data platforms.

Preferred Skills and Experience:
Minimum of 10years experience in data architecture data modeling and data management.
Strong experience with data warehouse design development and Maintenance in a cloud environment.
Experienced with cloud based data platforms such as GCP and AWS.
Experience with CI/CD and automated delivery systems.
Experience architecting designing and developing data platforms on AWS and/or GCP platforms.
Database experience including knowledge of SQL and NoSQL and related data stores such as
PostgreSQL or mongoDB.
Proficient in programming languages such as Python SQL Java or C
Strong knowledge of ETL / ELT pipelines data warehousing and data modeling.
Strong problem solving and analytical skills.
Experience with data governance and compliance.
Excellent communication and collaboration skills.
Excellent organizational skills and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
Skilled at working in tandem with a team of engineers or alone as required with the ability to work in a fast paced environment.

Desired Skills and Experience
Infrastructure provisioning (Terraform CloudFormation Cloud Foundry others )
Containers & Orchestration (Docker Kubernetes Istio Helm)
Systems Architecture background Infrastructure OS Windows/Linux/others Networking Data Storage Backup DR Solutions etc.
Certification as an AWS solutions architect cloud security certification and/or Google Cloud engineer certification a plus. (Other cloudrelated certifications are also a plus.)
Experience working in an Agile or SCRUM methodology in a Software Development Lifecycle (SDLC)
Experience in programming languages such as R Scala Perl or Shell scripting.
Familiarity with Bi and reporting tools (e.g. Tableau Looker PowerBI).
Experience with Hadoop Spark or EMR.
Education: Bachelor Degree or equivalent experience required.