November 6
• Are you passionate about designing data architectures that support seamless access, scalability, and security for modern applications? • Do you excel at creating robust data infrastructure that empowers data-driven insights and decision-making? • If you’re ready to architect data solutions that are both innovative and resilient, our client has the perfect role for you. • We’re seeking a Data Architect (aka The Data Infrastructure Visionary) to design, build, and optimize data frameworks that support analytical needs, enable efficient data flow, and uphold data integrity. • As a Data Architect at our client, you’ll work with data engineers, analysts, and business stakeholders to develop a data infrastructure that ensures data accessibility, accuracy, and security. • Your role will be pivotal in setting the foundation for data management across the organization, from database design to data warehousing and integration strategies. • Key Responsibilities: Design and Implement Data Architecture, Develop Data Governance and Security Policies, Collaborate on Data Strategy and Roadmaps, Optimize Data Storage Solutions, Support Data Integration and ETL Processes, Implement Advanced Analytics Frameworks, Document and Maintain Data Architecture.
• Data Architecture Expertise: Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes. • Cloud Data Platform Knowledge: Proficiency with cloud data services such as AWS, GCP, or Azure, and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse. • ETL and Data Integration: Strong understanding of ETL processes, data integration, and data transformation best practices. Familiarity with tools such as Apache NiFi, Talend, or Apache Airflow. • Data Governance and Security: Expertise in setting up data governance frameworks, data quality standards, and data security policies. You’re skilled at implementing access controls and compliance protocols. • Communication and Collaboration: Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders. You can communicate technical concepts clearly to both technical and non-technical audiences. • Educational Requirements: Bachelor’s or Master’s degree in Computer Science, Data Management, Information Technology, or a related field. Equivalent experience in data architecture and management may be considered. • Certifications in data architecture or cloud data platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly desirable. • Experience Requirements: 5+ years of experience in data architecture or a related field, with a track record of designing and implementing data frameworks. • Experience in data modeling, database design, and managing large-scale data storage solutions. • Familiarity with big data frameworks like Apache Hadoop, Spark, or Databricks is a plus.
• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums. • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year. • Work-Life Balance: Flexible work schedules and telecommuting options. • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs. • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources. • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage. • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges. • Tuition Reimbursement: Financial assistance for continuing education and professional development. • Community Engagement: Opportunities to participate in community service and volunteer activities. • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
Apply NowNovember 6
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Develop scalable data products for HackerOne's lakehouse architecture.
🇺🇸 United States – Remote
💵 $125k - $150k / year
💰 $49M Series E on 2022-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🗽 H1B Visa Sponsor