Data Architect
Data Architect
Posted on :
31-10-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
About the job
At Minutes to Seconds we match people having great skills with tailorfitted jobs to achieve welldeserved success. We know how to match people to the right job roles to create that perfect fit. This changes the dynamics of business success and catalyzes the growth of individuals. Our aim is to provide both our candidates and clients with great opportunities and the ideal fit every time. We have partnered with the best people and the best businesses in Australia in order to achieve success on all fronts. We re passionate about doing an incredible job for our clients and job seekers. Our success is determined by the success of individuals at the workplace.
We would love the opportunity to work with YOU!!
Minutes to Seconds is looking for a Data Architect in a Contract position.
Requirements
Job Overview
As a Data Architect you will be responsible for designing creating deploying and managing the data architecture for the company. You will work closely with crossfunctional teams to define data requirements oversee data integration processes and ensure data quality and governance standards are maintained. The ideal candidate will have a deep understanding of data modeling cloud architectures and database management systems.
Key Responsibilities
- Data Architecture Design: Develop and implement a scalable data architecture to support various business needs including data warehousing data lakes and analytics.
- Data Modeling: Design logical and physical data models that adhere to best practices and align with business objectives.
- Data Integration: Oversee data integration strategies ETL/ELT processes and data pipelines to support data migration transformation and loading between systems.
- Data Governance: Establish and enforce data governance policies ensuring data accuracy accessibility and security across all systems.
- Technology Evaluation: Assess recommend and implement data management tools database technologies and cloud solutions that best meet organizational needs.
- Collaboration: Work closely with data engineers data scientists business analysts and other stakeholders to define data requirements and ensure cohesive data strategies.
- Performance Optimization: Identify and address data architecture inefficiencies to improve system performance and data retrieval times.
- Documentation: Maintain comprehensive documentation for data structures data flows and integration processes to support ongoing maintenance and team understanding.
Required Skills and Qualifications
- Education: Bachelor s or Master s degree in Computer Science Information Technology Data Science or a related field.
- Experience:
- 5 years of experience in data architecture data modeling or data management roles.
- Proven experience designing and implementing data architectures in largescale environments.
- 5 years of experience in data architecture data modeling or data management roles.
- Technical Skills:
- Proficiency in database management systems such as SQL Server Oracle MySQL and NoSQL databases like MongoDB or Cassandra.
- Expertise with cloud platforms (AWS Azure Google Cloud) and data services (Redshift Snowflake BigQuery).
- Strong understanding of data modeling tools (e.g. ER/Studio Erwin) and data integration tools (e.g. Informatica Talend).
- Knowledge of ETL/ELT processes and tools data warehousing and data lake architecture.
- Familiarity with data governance and data quality frameworks.
- Proficiency in database management systems such as SQL Server Oracle MySQL and NoSQL databases like MongoDB or Cassandra.
- Analytical Skills: Strong problemsolving skills and the ability to analyze complex data structures and flows.
- Communication Skills: Excellent written and verbal communication skills with the ability to translate complex data requirements into businessfriendly language.
Preferred Skills
- Experience with machine learning and AI data pipelines.
- Knowledge of data visualization tools like Power BI Tableau or Looker.
- Familiarity with big data technologies like Hadoop Spark and Kafka.
- Certification in data architecture or cloud platforms (e.g. AWS Certified Data Analytics Azure Data Engineer).
Employment Type
Full Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
