Data Architect job vacancy

Vacancy expired!

DayToDay Responsbilities:

Develops and executes data cleansing and data migration plans.
Establishes and implements data governance and data quality standards.
Develops and maintains data dictionaries, metadata and data models.
Monitors and evaluates data performance and suggest corrective actions.
Works closely with business stakeholders to understand data needs and requirements.
Designs and implements data integration solutions.
Identifies and resolves data integrity issues.
Design strategic data solutions using current and emerging technologies.
Introduce new technologies and conduct POC.
Own Information architecture and data strategy implementation.
Review data strategy, risk assessment and roadmap.
Design and implement data solutions using Master Data Management principles and tools.
Implement information security guidelines across data architecture.
Develop and execute data cleansing and data migration plans.
Establish and implement data governance and data quality standards.
Develop and maintain data dictionaries, metadata and data models.
Monitor and evaluate data performance and suggest corrective actions.
Work closely with business stakeholders to understand data needs and requirements.
Design and implement data integration solutions.
Identify and resolve data integrity issues.

Must Have:

Experience with data analysis, data profiling, data cleansing and de-duplication.
Knowledge of SQL and NoSQL databases.
Ability to work with large amounts of data and draw analytical conclusions.
Ability to develop and implement data management strategies.
Excellent problem-solving and communication skills.
Ability to work independently and manage multiple tasks.
Ability to work in a fast-paced environment and meet tight deadlines.

NiceToHave:

Snowflake Experience
Autofinance/Finance Background
Familiar/Experience with concepts such as CICD, containerization, event driven micro services architecture, and Integration