Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Databricks Lead - Data Engineering role at Anblicks involves leading the design and optimization of data pipelines on Databricks with AWS integration, playing a key leadership role in data governance and cost optimization.
Responsibilities and impact
The candidate will lead Databricks platform development, architect Kafka data ingestion pipelines, manage data governance with Unity Catalog, optimize AWS resources, mentor engineers, and collaborate with cross-functional teams to deliver data solutions.
Compensation and benefits
The job offers a competitive salary and benefits package, including professional development and growth opportunities in a collaborative environment.
Experience and skills
Candidates need 7+ years in data engineering with 3+ years in leadership, expertise in Databricks, Apache Kafka, Unity Catalog, AWS services, Python, and Spark; Databricks certifications and experience with Apache Flink or CI/CD are bonuses.
Career development
The role provides opportunities for professional growth through challenging projects and a supportive, innovative work environment.
Work environment and culture
The company promotes a collaborative and innovative culture with equal opportunity employment.
Job location and travel
The position is based in Dallas, TX.
Unique job features
The role is distinguished by its focus on Databricks leadership, real-time data streaming with Kafka, data governance with Unity Catalog, and cost optimization strategies on AWS.
Company overview
Anblicks is a data and analytics company specializing in providing cloud data engineering, data analytics, and AI solutions to help businesses make data-driven decisions. They generate revenue through consulting services, implementation of data solutions, and ongoing support and maintenance. Founded in 2004, Anblicks has grown to serve a global clientele, leveraging partnerships with major cloud providers like AWS, Microsoft Azure, and Google Cloud. Their expertise lies in transforming raw data into actionable insights, enabling companies to optimize operations and drive growth.
How to land this job
Tailor your resume to emphasize your leadership in designing and deploying data solutions on Databricks, highlighting your experience with AWS services like S3, EC2, Lambda, and Glue to showcase your cloud integration skills.
Focus on demonstrating your expertise with Apache Kafka for real-time data ingestion and streaming, as well as your proficiency in managing data governance with Databricks Unity Catalog, including access control and compliance.
Apply through multiple platforms such as Anblicks' official corporate website and LinkedIn to maximize your visibility and chances of being noticed for the Databricks Lead role.
Connect with current data engineering team members or leaders at Anblicks on LinkedIn, using ice breakers like commenting on recent Databricks or AWS projects they’ve shared, or asking about their experience with Unity Catalog implementations to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords directly from the job description such as 'Databricks', 'Apache Kafka', 'Unity Catalog', 'AWS', 'PySpark', 'Spark SQL', and 'cost optimization' to ensure your resume passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate applying across multiple channels, tailor your resume with relevant keywords, and identify LinkedIn contacts to network with, freeing up your time to prepare for interviews and polish your skills.
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