Job Description
Bright Vision Technologies has an immediate opportunity for a Lead Data Engineer in Atlanta, GA.
Job Title: Lead Data Engineer
Job Location: Atlanta, GA (Onsite)
Job Type: Contract
(W2) This is W2 role.
Job Description: As a Lead Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will lead a team of data engineers to ensure the successful delivery of projects and contribute to the overall data strategy. The ideal candidate will have extensive experience in cloud-based data technologies, particularly in Azure, and a proven track record of implementing scalable and efficient data solutions.
Must have strong 12+ years of experience.
(W2 Role and H1 Transfer are highly preferrable). Responsibilities: - The Lead Data Engineer is responsible for overseeing the data warehouse implementation, ensuring that data practices align with the strategic goals of wealth and asset management services.
- The role involves managing data analytics and data warehousing projects, developing, and implementing data models, and leading a team of data Analysts.
- Design and implement comprehensive data strategies that enhance decision-making capabilities across wealth and asset management portfolios.
- Lead the development and maintenance of scalable data models and databases within a modern EDW.
- Ensure data integrity, quality, and compliance with industry regulations.
- Create high-level conceptual data models that define the essential entities and their relationships, capturing the broad scope of the organization’s data landscape.
- Translate conceptual models into logical data models that detail the structure of the data without being tied to any specific database technology. These models include attributes, keys, and the relationships between entities.
- Implement logical data models into physical schemas optimized for the specific technologies used within the EDW, considering performance and storage requirements.
- Utilize dimensional modelling techniques, such as star schemas and snowflake schemas, which are particularly effective for data warehousing in financial reporting and analytics.
- Design fact tables and dimension tables to support the organization’s business intelligence tools and data warehousing needs.
- Work with data governance teams to ensure that data handling meets compliance requirements and industry standards for data privacy and security.
- Translate complex data findings into actionable insights and strategic recommendations.
Skills required: - Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- 8 to 12+ years of experience in data engineering, with a focus on Microsoft technologies.
- Proficiency in Azure data services, including Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.
- Hands-on experience with Microsoft SQL Server Integration Services (SSIS).
- Strong understanding of data modeling concepts and database design principles.
- Excellent communication and leadership skills, with the ability to effectively collaborate with stakeholders at all levels.
- Certifications in relevant technologies (e.g., Microsoft Certified: Azure Data Engineer Associate) is a plus.
- Prior experience of working on Data strategy in Wealth Management industry will be a big +
Must have : - Demonstrable data modeling experience with Kimball and DataVault architectures
- Demonstrable data transformation experience
- Demonstrable data quality experience
Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to
Shivani at shivani@bvteck.com or Phone +1 (908) 333 3037 At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
Job Tags
Full time, Contract work, Immediate start,