Business Intelligence Data Architect at Contentstack

As a Business Intelligence Data Architect, you'll play a pivotal role in shaping our data landscape. Your expertise will help us unlock valuable insights and drive informed decision-making across the organization. We’re looking for someone who is not just technically proficient but also passionate about leveraging data to enhance our business intelligence initiatives. In your day-to-day work, you’ll engage with cutting-edge technologies and frameworks, working with Data Access Patterns, Cloud-native Analytics, and AI-enabled Workflows. You’ll utilize tools like dbt for analytics engineering, SQL for data querying, and Snowflake for data warehousing, ensuring robust Data Governance practices. Collaborating with APIs, CI/CD pipelines, and embracing Python will be essential as you model data and create efficient workflows that empower our teams. You will be joining a diverse and collaborative team that values growth and innovation. We believe in nurturing talent, offering opportunities for professional development, and encouraging team members to share ideas that can lead to groundbreaking solutions. Your contributions will directly impact our evolving data strategies. What makes this role unique is the chance to work in a fully remote environment, allowing for flexibility and work-life balance. You'll be at the forefront of transforming how we interact with data, helping to build a smarter, more data-driven organization.

Design enterprise modeling standards for staging, dimensional, and semantic layers in data architecture. Build robust data access patterns ensuring seamless integration with cloud-native analytics solutions. Lead architectural design reviews to maintain high standards in data governance and modeling. Architect AI-enabled workflows that enhance business intelligence across various departments. Drive the implementation of CI/CD practices for efficient deployment of data solutions. Develop and optimize SQL queries and dbt models for improved data analysis capabilities. Establish conventions for model grain, naming, and lineage documentation across data assets.

Competitive compensation package with comprehensive health benefits for you and your family. Flexible work hours and remote options to support your work-life balance and personal commitments. Opportunities for professional development and training to enhance your skills and career growth. Access to workshops and conferences to stay updated with industry trends and best practices. A supportive and inclusive culture that values collaboration and diverse perspectives. Fun office perks, including team-building activities and wellness programs to foster community.