The Evolvers Group
Constant learning and evolution is a way of life at Evolvers. We are always looking for passionate individuals that are ready to evolve in tandem with our team, defining and re-defining each facet of their career life at Evolvers. Our professionals are rewarded for their contributions to our clients, our culture and the overall quest for excellence. We view each of our professionals as a catalyst for growth, for Evolvers, our clients, and for the industry. If you would like to pursue a fulfilling career at Evolvers, do get in touch with us at resumes @ evolversgroup.com
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 data in scope is accessible, reliable & secure for analysis and decision-making.
Responsibilities
Stakeholder Collaboration: Work closely with business & IT stakeholders to gather requirements & 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 the 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 intuitively. 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. Qualifications
5+ years of experience as a Data / BI Architect 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 ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark Source systems incl. on-prem, cloud, & SaaS Has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
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Stakeholder Collaboration: Work closely with business & IT stakeholders to gather requirements & 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 the 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 intuitively. 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. Qualifications
5+ years of experience as a Data / BI Architect 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 ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark Source systems incl. on-prem, cloud, & SaaS Has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
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