Data Architect

2 weeks ago


Milwaukee, United States Crescendo Collective Full time
Data Architect & Business Analyst Hybrid

Application Deadline: 27 December 2024

Department: Accounts

Employment Type: Full Time

Location: Milwaukee, WI

Description

We are seeking a versatile professional to design, optimize, and maintain scalable data solutions while bridging technical expertise and business strategy. This role requires hands-on technical skills in data architecture and analytics, combined with the ability to collaborate with cross-functional teams, ensuring data-driven decision-making throughout the organization.

Key Responsibilities

Data Architecture & Strategy:
  • Design, implement, and optimize data architectures that align with business goals, ensuring scalability, high performance, and platform compatibility.
  • Develop and maintain data integration pipelines, including ETL processes, transformations, and data storage solutions for seamless reporting and access.
  • Assess and enhance data infrastructure, identifying opportunities for automation, innovation, and process improvements.
Business Analysis & Collaboration:
  • Collaborate with business stakeholders to gather, analyze, and translate business needs into practical data models, dashboards, and systems.
  • Serve as a liaison between technical and business teams, ensuring alignment on data solutions that meet operational objectives.
  • Create and maintain data models and take ownership of their implementation, handling data pipelines, architecture, and dashboard configuration to ensure seamless reporting.
  • Provide actionable insights and recommendations through cross-functional analysis, supporting both business strategy and technical implementation.
Process Optimization & Governance:
  • Drive continuous improvements in data management processes to enhance efficiency, data quality, and governance.
  • Establish data documentation standards, ensuring that both technical and non-technical stakeholders understand key processes, architectures, and solutions
Mentorship & Knowledge Sharing:
  • Mentor and support team members in data management best practices, fostering a culture of learning and continuous improvement.
  • Lead training initiatives to promote data literacy across the organization and align team efforts with strategic business goals.
Skills, Knowledge and Expertise

Technical Expertise:
  • Proficiency in data architecture tools and platforms (e.g., BigQuery, Snowflake, Looker Studio, Tableau, Power BI).
  • Experience with data modeling, SQL, ETL processes, and API integration.
Analytical Skills:
  • Strong ability to perform root-cause analysis and generate actionable insights from complex datasets.
  • Familiarity with business intelligence tools and methodologies to deliver impactful reports.
Soft Skills & Collaboration:
  • Exceptional communication skills, with the ability to translate technical concepts for business users and vice versa.
  • Demonstrated ability to balance technical rigor with business acumen, aligning solutions with evolving business priorities.
Preferred Qualifications:
  • Experience working with Adobe Analytics, Google Analytics, or similar platforms.
  • Familiarity with process automation tools (e.g., Power Automate).
  • Experience in mentoring, coaching, or leading cross-functional teams.


Benefits

- Competitive salary
- Full benefits
- SIMPLE IRA matching (3%)
- Generous PTO
- Paid holidays

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