Data/BI Architect
Data/BI Architect
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1 Vacancy
Job Description
Data Business Intelligence (BI) Architect role is a hybrid of data architecture engineering & business strategy bridging the gap between tech data solutions & business objectives. Designs develops & maintains the overall data strategy ensuring the County data in scope is accessible reliable & secure for analysis and decision-making. The right candidate has experience in architecting data solutions that can be used for descriptive diagnostic predictive & prescriptive analytic solutions.
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.
Role incl. defining data platform tech stack. Example tech below; not required to have experience in all.
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
