Data / BI Architect
Data / BI Architect
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
About this Position:
Job Title: Data/BI Architect
KEY RESPONSIBILITIES:
-
Stakeholder Collaboration: Work closely with business & IT stakeholders to gather req & translate business needs into tech specifications including identification of data sources.
-
Data Arch Design & Data Modeling: Architect & implement scalable secure & efficient data solutions including data warehouses data lakes and/or data marts. Design conceptual logical & physical data models.
-
Tool and Platform Selection: Evaluate recommend & implement tools aligned with recommended architecture including visualization tools aligned with business needs.
-
ETL/ELT Pipeline Mgt: Design develop & test data pipelines integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse.
-
Data Catalog & Metadata Mgt: Design create & maintain an enterprise-wide data catalog automating metadata ingestion establishing data dictionaries and ensuring that all data assets are properly documented & tagged.
-
Data Governance and Discovery: Enforce data governance policies through the data catalog ensuring data quality security & compliance. Enable self-service data discovery for users by curating & organizing data assets in an intuitive way.
-
Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high performance reliability & cost-effectiveness.
-
Technical Leadership: Provide technical guidance & mentorship across the organization establishing best practices for data mgt & BI development.
Experience Level: 5 years.
Environment:
-
Data Platforms: DW & lake concepts incl. dimensional modeling & cloud services (S3 AWS Redshift RDS Azure Data Lake Storage Synapse Analytics BigQuery Databricks Snowflake Informatica).
-
Databases: SQL & relational/non-relational (SQL Server Oracle PostgreSQL MongoDB).
-
BI Tools: Power BI Business Objects Tableau Crystal Looker.
-
ETL/ELT: Cloud native (AWS Glue Azure Data Factory Google Cloud Dataflow) & in-warehouse transform tools (Fivetran Talend dbt).
-
Big Data Tech: Hadoop Spark Kafka.
-
Programming/API: Python Keras Scikit-learn R XML.
-
ML/DL/Analytic Engines: TensorFlow PyTorch Trillium Apache Spark.
-
Modeling Tools: MS Visio ER/Studio PowerDesigner; Source systems incl. on-prem cloud & SaaS.
Employment Type
Full-time
