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We are seeking a highly skilled and experienced Data Architect to join our team in order to deliver on major business priorities within the Client Financial Platform. As a Data Architect, you will play a critical role in designing, developing, and maintaining our data pipelines within and across our applications. You will lead a team of talented engineers, providing technical guidance and mentorship while ensuring the successful delivery of high-quality solutions. This role requires a deep understanding of data technologies, strong leadership skills, and a passion for data-driven decision-making.
Job Responsibility:
Design and implement data models: Develop conceptual, logical, and physical data models that meet business requirements
Develop data warehousing strategies: Design and implement data warehouses and data lakes to support business intelligence and analytics
Establish data governance policies: Define and enforce data quality standards, access controls, and security protocols
Collaborate with stakeholders: Work with data scientists, engineers, and business analysts to understand data needs and translate them into technical solutions
Evaluate and select data management tools: Research and recommend appropriate data management technologies and tools
Oversee data migration and integration: Manage the process of migrating data from legacy systems to new platforms
Performance tuning and optimization: Monitor and optimize data infrastructure performance to ensure efficient data access
Stay up-to-date with industry trends: Keep abreast of the latest developments in data management technologies and best practices
Requirements:
Experience and exposure to Big Data
Expertise in various data modeling techniques, including relational, dimensional, and NoSQL
Strong understanding of data warehousing concepts and experience with data warehouse design and implementation
Proficiency in designing and implementing Extract, Transform, Load (ETL) processes
Extensive knowledge of various DBMS platforms, such as SQL Server, Oracle, and MySQL
Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases
Experience with various BI tools and technologies including Tableau, PowerBI, Microstrategy
Understanding of data governance principles and best practices
Experience with cloud-based data platforms like AWS, Azure, and GCP
Excellent presentation, communication and interpersonal skills to effectively collaborate with stakeholders
8+ years of experience
Bachelors or Masters in Computer Science or equivalent field
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards
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