Responsibilities
- Design and implement enterprise-level data architecture solutions.
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
- Develop and maintain data models, data warehouses, and data lakes.
- Ensure data quality, security, and compliance with regulatory standards.
- Lead a team of data architects and engineers in the development and implementation of data solutions.
- Provide technical guidance and mentorship to junior team members.
- Work closely with cross-functional teams to integrate data solutions into existing systems.
- Conduct data analysis and reporting to support business decision-making.
- Stay up-to-date with industry trends and best practices in data architecture.
- Participate in the development of data governance policies and procedures.
- Implement data migration strategies and ensure data integrity during transitions.
- Design and implement data integration solutions using ETL tools.
- Develop and maintain data pipelines for real-time and batch processing.
- Collaborate with data scientists and analysts to support advanced analytics and machine learning initiatives.
- Ensure scalability and performance of data solutions to meet business needs.
- Conduct regular audits and assessments of data architecture to identify areas for improvement.
- Provide technical support and troubleshooting for data-related issues.
- Document data architecture designs, processes, and procedures.
- Participate in the development of data strategy and roadmaps.
- Collaborate with vendors and third-party providers to select and implement data solutions.
- Ensure alignment of data architecture with overall business objectives and strategies.
- Conduct training and workshops for team members on data architecture best practices.
- Develop and maintain data dictionaries and metadata repositories.
Nice to Have
- Experience with biotechnology or healthcare industry data solutions.
- Proficiency in data visualization tools and techniques.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of machine learning and advanced analytics.
- Experience with data governance tools and frameworks.
- Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
- Knowledge of regulatory compliance standards such as HIPAA, GDPR, or CCPA.
- Experience with data lineage and metadata management tools.
- Proficiency in data modeling tools such as ER/Studio, PowerDesigner, or Visio.
Compensation
Competitive salary and benefits package.
Work Arrangement
On-site
Team
Collaborate with a team of data architects, engineers, and analysts.
About Us
- We are a leading software company specializing in data solutions for the biotechnology industry.
- Our mission is to empower biotechnology companies with innovative data solutions to drive scientific discovery and improve patient outcomes.
- We offer a dynamic and collaborative work environment where employees can grow and thrive.
- Our team is composed of highly skilled professionals with expertise in data architecture, data science, and software development.
- We are committed to delivering high-quality data solutions that meet the unique needs of our clients.
- Our company values innovation, collaboration, and continuous learning.
- We provide opportunities for professional development and career growth.
- Our team is dedicated to staying at the forefront of industry trends and best practices.
- We foster a culture of inclusivity and diversity, where all employees feel valued and respected.
- Our company is committed to making a positive impact on the biotechnology industry and beyond.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional development and career growth.
- A dynamic and collaborative work environment.
- The chance to work on cutting-edge data solutions for the biotechnology industry.
- A supportive and inclusive team culture.
- Access to state-of-the-art tools and technologies.
- Flexible work arrangements and work-life balance.
- The opportunity to make a meaningful impact on scientific discovery and patient outcomes.
- A commitment to continuous learning and development.
- A focus on innovation and staying at the forefront of industry trends.
Visa sponsorship is available for eligible candidates.
