Principal Architect, Data Engineer

3 weeks ago

Canada Lovelytics, LLC Full time

We are seeking an accomplished Principal Consultant with specialized expertise in delivering strategic Databricks and data engineering solutions for our clients at Lovelytics. As a pivotal member of our team, you will serve as a data and analytics solution architect, leading technical engagement and architecture initiatives encompassing data warehousing, ETL development, data integrations, and data modeling.
Location: This role is open to remote candidates in the following states: MD, DC, CA, IL, IA, IN, MA, ME, NC, TX, TN, GA, CO, NY, NJ, VA, FL, PA, OH, ORwith a preference for candidates located near one of our hubs of DC, NY, Austin, Chicago, Nashville, or Toronto, Canada.
Design end-to-end data pipelines leveraging Databricks for ETL, streaming, and batch processing.
Architect data lakes and warehouses on Databricks, ensuring scalability, reliability, and performance.
Collaborate with stakeholders and other capability team members to translate business requirements into technical specifications and scalable solutions.
Implement best practices for data governance, security, and optimization within the Databricks environment.
Collaborate with Technical Directors to identify market trends, implement internal initiatives, and contribute thought leadership through blogs and innovative solutions.
Applydeep technical knowledge to address client challenges and expand business opportunities, and attimes, engage in client-facing pre-sales and pursuit activities.
Manage projects, ensuring milestones are achieved within set timelines and budgetary constraints.
Provide technical guidance and support across various project facets, from data integration to troubleshooting.
Bachelor's degree in Computer Science or related field.
~8+ years of data engineering experience within cloud-based analytics architectures, with at least 4 years in a traditional consulting environment and role.
~ Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
~ Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark.
~ Solid understanding of cloud platforms (Azure, AWS, or GCP) and their integration with Databricks.
~ Expertise in SQL, Python, or Scala for data manipulation and analysis.
~ Familiarity with Machine Learning model development or ML Ops is advantageous.
~ Relevant certifications such as Databricks Data Engineer Professional and Databricks Machine Learning Professional are desirable.

Exciting projects with diverse clients across various industries globally.
Opportunity to work alongside seasoned data engineers and grow professionally.
A vibrant, diverse team of data enthusiasts, experience seekers, and entrepreneurial minds dedicated to continuous improvement.
We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.
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