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Data Solutions Architect Jobs

Solutions Architect (It Infrastructure, Data Centers, Networking And Security)
By Experis At Vancouver, British Columbia, Canada
Experience in assessing customer requirements, architectural policy, procedures, and standards, and implementing technical and business solutions.
Experience providing technical advice and guidance to work teams, managers and executive.
Assess the existing IT infrastructure and align it with the requirements of M365 deployment.
Provide technical advice and guidance to teams, managers, and executives involved in the IMIT deployment project.
Senior expert level technical certifications are an asset
Senior level experience in Information Technology Solution and Enterprise Architecture.
Remote Admin Guru & Data Entry Architect: Designing Productive Solutions
By Early Bird Tutors At Canada
Strong organizational and time management skills
Good typing and data entry skills
Performing data entry and maintaining databases
No experience as a Virtual Assistant is needed.
Strong communication and organisational skills.
At least 1 month of experience in online market research
Remote Data Analyst (Omnitrance Solutions Inc)
By BCJobs At Vancouver, British Columbia, Canada
3+ years of experience in a data analysis role
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
Knowledge of statistical analysis tools such as R, SAS, or SPSS
Experience with data visualization tools such as Tableau or Power BI
Excellent communication and presentation skills
Ability to work independently and collaboratively in a remote team environment
Data Analyst (Omnitrance Solutions Inc)
By BCJobs At Vancouver, British Columbia, Canada
Supporting the data warehouse in identifying and revising reporting requirements.
Work experience as a data analyst or in a related field.
Ability to translate business requirements into non-technical, lay terms.
High-level experience in methodologies and processes for managing large-scale databases.
Managing master data, including creation, updates, and deletion.
Managing users and user roles.
Analyst, Data Strategy And Solutions
By Blueprint At Toronto, Ontario, Canada
Knowledge of or experience using agile project management techniques and technology development tools, including scrum and user testing
1-2 years work experience in project coordination, data analysis, consulting, data system management, non-profit, government or a related field.
Assist in the management of Blueprint’s data collection and data management systems to support Blueprint’s research activities
Experience writing technical documentation, scoping documents, and project reports
Experience using data visualization tools with automation tools (e.g. Power BI with PowerApps)
Excellent writing, oral communication, and interpersonal skills, especially while communicating complex technical concepts to a non-technical audience.
Vp, B2B Data Solutions
By Dow Jones At Toronto, Ontario, Canada
Lead discussions with Executive Leadership and Senior Management to align on a roadmap of data/analytics priorities. Additionally, provide timely status reports.
Drive the development of fully automated, real time, data led self-serve B2B dashboards for quick and efficient management decision making.
Master’s degree in Computer Science, Information technology, Data Science, Business Management. MBA preferred
Experience as tech project, product or program manager within Agile/SCRUM enterprise-scale software development environments.
A minimum of 10 years experience in a leadership role including at least 2 years of responsibility for 10+ people.
Previous experience designing and delivering data solutions relating to B2B and B2C digital products, sales, marketing and services is required.
Senior Manager, Investment Data Solutions
By Scotiabank At Toronto, Ontario, Canada
Strong project management skills with ability to manage multiple project streams simultaneously
Detailed knowledge of the information needs of an investment management organization
Responsible for budget forecast and planning, periodic management reporting and ad-hoc analysis of market data, research and subscription expenses across SGAM
Lead change management surrounding market data policy implementation and regulatory changes
5+ years of managing market data within capital markets or asset management
Monitor, measure, manage and track vendor performance to ensure contract compliance and recommend vendor relationship improvements
Gcp Data Architect / Solutions Data Engineer - $80-85.00 P/H Inc. - Hybrid Remote (Toronto)
By CorGTA Inc. At North York, Ontario, Canada
2 full years of hands-on experience with GCP (Big Query, Airflow, Kafka) for Data Engineering
If you have any experience with ML this would be valued for future project work
8+ years in Data Engineering with at least one role being a key solutions designer for GCP based data projects
Ability to design and implement scalable and efficient data pipelines to support business needs
Data pipeline, optimization, schemas, governance and quality understanding
Hands-on: Python, SQL, Hadoop, Unix Shell, NoSQL
Data Solutions Analyst Jobs
By dentsu At Vancouver, British Columbia, Canada
4+ years working in the field of digital analytics in an advertising agency or management consultancy
Basic knowledge of cloud computing concepts and experience in Google Cloud
Highly analytical. Strong numerical skills and attention to detail
Intermediate HTML, CSS, and JavaScript experience
Experience in server-side tagging and GA4 implementation
Understanding of data warehousing and ETL techniques (preferably through Adverity)
Data Solutions Analyst Jobs
By dentsu At Toronto, Ontario, Canada
4+ years working in the field of digital analytics in an advertising agency or management consultancy
Basic knowledge of cloud computing concepts and experience in Google Cloud
Highly analytical. Strong numerical skills and attention to detail
Intermediate HTML, CSS, and JavaScript experience
Experience in server-side tagging and GA4 implementation
Understanding of data warehousing and ETL techniques (preferably through Adverity)
Data Solutions Analyst Jobs
By Pinnacle | Executive & Professional Search At Winnipeg, Manitoba, Canada
Strong organization and planning skills; able to manage multiple projects simultaneously
Conduct analysis, design and documentation of both system and business requirements for application enhancements/projects.
Conduct requirement sessions with business and system teams.
Post-secondary degree or diploma or equivalent experience
3–4 years experience performing systems or business analysis
A structured approach to analysis and problem solving, with keen attention to detail and concise communication skills

Are you looking for an opportunity to work with cutting-edge technologies and solve complex data problems? We are looking for a Data Solutions Architect to join our team and help us build the future of data-driven solutions. As a Data Solutions Architect, you will be responsible for designing and developing data architectures, developing data models, and providing technical guidance to our team. If you have a passion for data and a knack for problem-solving, this is the perfect job for you!

Overview:

Data Solutions Architects are responsible for designing, developing, and implementing data solutions that meet the needs of an organization. They are responsible for understanding the business requirements and translating them into technical solutions. They must have a deep understanding of data architecture, data modeling, data warehousing, and data integration. They must also have a good understanding of the various technologies and tools used to develop data solutions.

How To Become an Data Solutions Architect:

To become a Data Solutions Architect, you will need to have a bachelor’s degree in computer science, information systems, or a related field. You will also need to have experience in data architecture, data modeling, data warehousing, and data integration. Additionally, you should have experience with various technologies and tools used to develop data solutions.

Data Solutions Architect Skills:

• Data Architecture
• Data Modeling
• Data Warehousing
• Data Integration
• Database Design
• Database Administration
• Business Analysis
• Project Management
• System Design
• Software Development
• Troubleshooting
• Technical Writing
• Problem Solving

What is Data Solutions Architect Knowledge?

• Knowledge of data architecture, data modeling, data warehousing, and data integration
• Knowledge of various technologies and tools used to develop data solutions
• Knowledge of database design and database administration
• Knowledge of business analysis, project management, system design, software development, and troubleshooting
• Knowledge of technical writing and problem solving

What is Data Solutions Architect Responsibilities?

• Design, develop, and implement data solutions that meet the needs of an organization
• Understand business requirements and translate them into technical solutions
• Develop data models and data warehouses
• Design and implement data integration solutions
• Monitor and maintain data solutions
• Troubleshoot and resolve data issues
• Develop and maintain documentation
• Provide technical support and training to users

What is Data Solutions Architect Experience?

• Experience in data architecture, data modeling, data warehousing, and data integration
• Experience with various technologies and tools used to develop data solutions
• Experience with database design and database administration
• Experience with business analysis, project management, system design, software development, and troubleshooting
• Experience with technical writing and problem solving

What is Data Solutions Architect Qualifications?

• Bachelor’s degree in computer science, information systems, or a related field
• Experience in data architecture, data modeling, data warehousing, and data integration
• Experience with various technologies and tools used to develop data solutions
• Knowledge of database design and database administration
• Knowledge of business analysis, project management, system design, software development, and troubleshooting
• Knowledge of technical writing and problem solving

Data Solutions Architect Educations:

• Bachelor’s degree in computer science, information systems, or a related field
• Professional certifications in data architecture, data modeling, data warehousing, and data integration
• Professional certifications in various technologies and tools used to develop data solutions
• Professional certifications in database design and database administration
• Professional certifications in business analysis, project management, system design, software development, and troubleshooting
What tools help Data Solutions Architect work better?
• Data modeling tools such as ERwin, PowerDesigner, and ER/Studio
• Data integration tools such as Informatica, Talend, and IBM DataStage
• Database design and administration tools such as Oracle, SQL Server, and MySQL
• Business analysis tools such as Microsoft Visio and Rational Rose
• Project management tools such as Microsoft Project and JIRA
• System design tools such as UML and SysML
• Software development tools such as Java, .NET, and Python
• Troubleshooting tools such as Wireshark and Fiddler
Good tips to help Data Solutions Architect do more effectively?
• Stay up to date with the latest technologies and tools used to develop data solutions.
• Develop a deep understanding of data architecture, data modeling, data warehousing, and data integration.
• Develop a good understanding of database design and database administration.
• Develop a good understanding of business analysis, project management, system design, software development, and troubleshooting.
• Develop a good understanding of technical writing and problem solving.
• Develop strong communication and interpersonal skills.
• Develop strong analytical and problem-solving skills.
• Develop strong organizational and time management skills.
Common Data Solutions Architect interview questions?
• What experience do you have in data architecture, data modeling, data warehousing, and data integration?
• What technologies and tools have you used to develop data solutions?
• What experience do you have with database design and database administration?
• What experience do you have with business analysis, project management, system design, software development, and troubleshooting?
• What experience do you have with technical writing and problem solving?
• How do you stay up to date with the latest technologies and tools used to develop data solutions?
• What challenges have you faced in developing data solutions?
• How do you ensure the accuracy and reliability of data solutions?
• What strategies do you use to troubleshoot and resolve data issues?