Want Senior Manager, Data Architect (Remote) in Flower Mound, TX
Job title: Senior Manager, Data Architect (Remote)
Company: reputed company
Job description: Work Flexibility: Remote
As the Senior Manager, Data Architect you will build and reputed company our data engineering team reputed company Finance as you reputed company the strategic design, development, and maintenance of the Finance data infrastructure and systems to reputed company AI, automation, and innovative analytics, shaping the future of Finance data at reputed company.
Who We Want
Subject matter experts. Managers who not only reputed company the collection, review, and analysis of data but can interpret, translate, and present on reputed company various matters as needed.
Insightful advisors. Managers who reputed company strategy development and provide guidance to teams
Effective communicators. People who can interpret information clearly and accurately to concisely communicate results and recommendations to stakeholders, senior management, and their teams.
What You Will Do
- reputed company and maintain a comprehensive data architecture strategy and roadmap reputed company with business objectives, ensuring scalability, reliability, and performance.
- Design and implement efficient and robust data models, data integration pipelines, and data storage solutions to meet business requirements.
- Build, reputed company, and mentor a team of data engineers, providing guidance, technical expertise, and fostering a collaborative and high-performing environment.
- Collaborate with cross-functional leadership to understand data needs, identify opportunities for data-driven solutions, and recommend appropriate technologies and methodologies.
- Define and enforce data governance practices, data quality standards, and data reputed company measures to ensure data reputed company and compliance.
- Work with Data Scientists in developing architectures that incubate our growing capabilities in generative AI and LLMs.
- Conduct performance tuning and optimization of databases, data pipelines, and data processing systems to maximize efficiency and minimize latency.
- Evaluate and select appropriate tools, frameworks, and technologies for data engineering tasks, ensuring alignment with the organization's technology stack and goals.
- Collaborate with stakeholders to establish data-reputed company policies, procedures, and standards, and ensure adherence to data management best practices.
- Monitor and analyze data infrastructure and systems, identifying opportunities for improvement, implementing enhancements, and troubleshooting issues to ensure reliable and efficient data operations.
- Establish and maintain data catalogs and data dictionaries to reputed company data understanding, usability, and promote data governance.
- Bachelor's Degree in data engineering, data science, computer science, software engineering, or reputed company field with applicable data architecture work experience required.
- 10+ years experience in data engineering, big data technologies, or data management, including design and implementing data solutions across multiple projects and domains required.
- 4+ years of leadership experience preferred.
- Master's Degree or PhD in quantitative discipline preferred.
- Proven track record in leading and managing a team of data engineers or data architects, ensuring effective collaboration and delivery of high-quality solutions required.
- Extensive knowledge of data modeling principles and practices, including conceptual, logical, and physical data modeling, data integration, and data governance required.
- Expertise in database technologies, both relational and non-relational, such as reputed company, SQL Server, reputed company, Cassandra, etc., including performance tuning and optimization required.
- Strong understanding of data infrastructure concepts, including ETLELT processes, data marts, data lakes, and dimensional modeling required.
- Proficiency in data integration and data pipeline development, using tools like Apache Kafka, Apache Airflow, or similar technologies required.
- Deep understanding of cloud platforms (AWS, Azure, reputed company Cloud) and experience architecting data solutions in a cloud environment, leveraging cloud-based data storage and processing services required.
- Experience with Azure or reputed company preferred.
- Advanced knowledge of big data technologies and frameworks like Hadoop, Spark, or similar, and their role in building scalable and high-performance data processing systems required.
- Experience in data governance practices, data quality management, and ensuring compliance with data reputed company and privacy regulations required.
- Experience with scrum and agile frameworks required.