About the role

Data Engineering Manager

Please share updated resume with the snapshot of LWD

Job Summary:

The Databricks Architect plays a pivotal role in designing and implementing cutting-edge data solutions leveraging Databricks technologies. This position is essential for driving innovation, improving data workflows, and ensuring our data architecture meets the strategic needs of the organization.

Key Responsibilities:

Design and implement scalable data architectures using Databricks, Lakeflow, and Delta Lake.
Lead the integration of modern features such as Lakeflow Connect and Databricks Apps into existing data systems.
Collaborate with cross-functional teams to define data requirements and translate them into technical specifications.
Evaluate and optimize data processing frameworks and tools to enhance performance and reliability.
Conduct training sessions and workshops for team members on best practices in Databricks and big data solutions.
Establish governance and security policies for data sharing and management across platforms.
Stay updated on industry trends and advancements in data technologies to provide strategic insights.

Requirements:

10+ years of experience in data architecture and engineering with a focus on cloud technologies.
Expertise in Databricks, Lakeflow, Delta Lake, and associated tools and frameworks.
Strong programming skills in languages such as Python, Scala, or SQL.
Experience with data warehousing solutions and ETL processes.
Excellent problem-solving skills and a strong analytical mindset.
Proven ability to work collaboratively in a team environment and communicate complex concepts clearly.
Relevant Databricks certifications are highly preferred.

Preferred Qualifications:

Experience leading large-scale data migration and transformation projects.
Familiarity with machine learning frameworks and their integration into data pipelines.
Knowledge of data visualization tools such as Tableau or Power BI.
Experience with Agile methodologies and project management principles.
Strong network within the data engineering community for staying ahead of emerging trends.

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance plans.
401(k) retirement plan with company match.
Flexible work hours and opportunity for remote work.
Professional development and continuing education reimbursement.
Generous paid time off and holiday schedule.
Access to cutting-edge technologies and tools to foster innovation.