Database Architect
August 7
Description
• Integrate multiple databases together, Snowflake schema, Star schema, Network model, and others • Work with multiple message buses, Kafka, IBM MQ to targets like Redshift, Postgres, MongoDB • Discovering appropriate workloads and use the appropriate database to deliver the performance and functionality needed • Adept at design and deploy for scale considering the types of requests the database must deliver on • Database recovery with sequence and time constraint • Collaborating directly with business and technology stakeholders to define future-state business capabilities & requirements and translating those into transitional and target state data architectures • Partnering with platform architects to ensure implementations meet published platform principles, guidelines, and standards • Analyzing the current technology environment to detect critical deficiencies and recommend solutions for improvement • Designing, implementing, and maintaining data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques • Developing continuous integration and continuous deployment for data pipelines that include automated unit & integration testing • Workflow management platforms like Airflow • Mentoring, motivating, and supporting the team to achieve organizational objectives and goals • Advocating for agile practices to increase delivery throughput • Creating, maintaining, and ensuring consistency with published development standards
Requirements
• 7+ years with AWS (preferred), GCP or Azure • 10+ years of experience using standard methodologies to design, build, and support near real-time data pipelines and analytical solutions using Postgres, Redshift, BigQuery, Hadoop, Teradata, MS SQL Server, Talend, Informatica, Powerbi and/or SSIS • 10+ years of experience using object-oriented languages (.Net, Java, Python) to deliver data for near real-time, streaming analytics • 10+ years of experience working with partners documenting business requirements and translating those requirements into relational, non-relational, and dimensional data models using Erwin • 10+ years of experience working on agile teams delivering data solutions • 10+ years of experience developing MDM solutions • 8+ years of experience in delivering solutions on public cloud platforms (Google Cloud preferred) • Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines • Ability to quickly comprehend the functions and capabilities of new technologies, and identify the most appropriate use for them • Exceptional interpersonal skills, including teamwork, communication, and negotiation
Benefits
• Flexible work-life balance • Tuition reimbursement • Mentorship programs • Lunch and learns • Online course subscriptions • Paid industry certifications • Business resource groups
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