Data/BI Architect

Overview

On Site
Full Time
Accepts corp to corp applications
Contract - 1-2 Year(s)
50% Travel

Skills

ETL
SQL Server
Oracle
BI
Python
Visio
MongoDB
PostgreSQL
Hadoop

Job Details

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.

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