Data Architect

We are looking for a seasoned Data Architect to help us shape Emergn's exciting future and play an important role in our growth.

Key Responsibilities

• Design and develop conceptual, logical, and physical data models to meet the organization's data requirements.
• Ensure data models are aligned with business processes and strategies.
• Work closely with product managers, engineers, and business analysts to understand business requirements and translate them into data-driven solutions.
• Design and implement data integration solutions to consolidate data from various sources.
• Ensure seamless data flow across different systems and platforms.
• Establish and enforce data governance policies and standards.
• Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data architecture aligns with business goals and technical constraints.
• Ensure data quality, consistency, and compliance with regulatory requirements.
• Represent the company at industry conferences, seminars, and webinars, presenting on modern data architecture, best practices, and innovative solutions.
• Participate in panel discussions and workshops to share insights on data architecture trends and challenges.
• Drive the adoption of emerging technologies and methodologies within the organization's data architecture practice.
• Identify and evaluate new tools, platforms, and frameworks that can enhance data architecture and management.

Skills, Knowledge and Expertise

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 8+ years of experience in data architecture, data modeling, database design, and data management.
• Proven track record of designing and implementing large-scale data architectures.
• Experience leading data architecture initiatives and collaborating with cross-functional teams.
• Industry-specific knowledge (e.g., finance, healthcare, retail) to be able to identify client's needs and communicate possible solutions to their problems.
• Ability to align data architecture initiatives with business goals and objectives.
• Experience developing data architecture strategies and roadmaps.
• Excellent communication skills for conveying complex technical concepts to non-technical stakeholders.
• Strong leadership skills with the ability to lead and mentor a team of data professionals.
• Strong analytical and problem-solving skills.