Tech Lead Data Engineer
1 month ago
Job Title: Tech Lead Data Engineer - Machine Learning/Artificial Intelligence
Job Summary:
We are seeking a highly skilled Tech Lead Data Engineer to lead our AI/ML engineering team and drive the design and implementation of robust data architectures. The successful candidate will have a strong background in machine learning, artificial intelligence, and data engineering, with experience in designing, building, testing, deploying, and supporting data architectures, AI/ML use cases, and business analytics.
Responsibilities:
- Lead AI/ML projects, guiding the team through research, development, and deployment.
- Oversee Business Intelligence and Reporting, integrating data solutions to facilitate insightful analytics.
- Apply advanced data modeling techniques to uncover patterns and insights.
- Collaborate on designing and deploying innovative AI solutions to address business challenges.
- Leverage expertise in Oracle Cloud Infrastructure (OCI) and Snowflake to enhance data solutions.
- Design and implement robust, scalable, and maintainable data architectures.
- Collaborate with cross-functional teams to ensure data solutions align with business requirements.
- Lead efforts to integrate and consolidate data from various sources for analysis.
- Implement efficient ETL processes to support real-time and batch data processing.
- Manage and optimize database systems for performance, reliability, and scalability.
- Establish and enforce data engineering best practices and standards.
- Implement data quality checks and monitoring to ensure accuracy and evaluation.
- Stay abreast of emerging technologies and trends in data engineering.
- Evaluate and recommend tools and frameworks to enhance the data engineering stack.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Facilitate communication between data engineering and other technical teams.
- Provide technical leadership and mentorship to a team of AI Engineers, Data Engineers, and Data Analysts.
- Oversee the end-to-end development and deployment of scalable and efficient data architectures.
- Leads Data Governance initiatives, ensuring adherence to Data Quality standards and Regulatory Compliance.
- Implements robust data security measures, safeguarding sensitive information across cloud and on-premises databases.
- Establishes comprehensive monitoring for data pipelines and architecture, proactively identifying and addressing potential issues to maintain optimal performance.
Requirements:
- Proven experience in designing, building, testing, deploying, and supporting data architectures, AI/ML use cases, and business analytics.
- Proficient in programming languages such as Python, SQL, TensorFlow, or PyTorch.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Hands on Databricks, Snowflake.
- Solid understanding of data modeling, database design, and optimization techniques.
- Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- 5+ years of experience managing data engineering teams, data analytics teams, and AI engineers.
- Strong understanding of data governance, data security, and data privacy best practices.
About Us:
Techment Technologies is a leading technology company that specializes in AI/ML engineering and data architecture. We are committed to delivering innovative solutions that drive business value and improve customer experience.
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