Remote Senior Data Architect - AI/ML Solutions / Databricks

Description:

• Resilinc is seeking a Senior Data Architect to design and implement an enterprise data platform, which is a cornerstone of their data strategy.
• The role involves creating the technical foundation that supports machine learning experiments, agentic AI workflows, and curated data sets.
• The Senior Data Architect will leverage Databricks as the core technology platform to build scalable and efficient data architecture.
• Responsibilities include strategic architecture design, technical implementation, cross-team collaboration, and innovation and optimization.
• The position offers a significant opportunity to shape the future of data infrastructure and drive innovation through thoughtful architectural decisions.

Requirements:

• Candidates must have 8+ years of experience in data engineering, with at least 5 years focused on data architecture roles.
• A minimum of 3 years of hands-on experience with Databricks, including Delta Lake, Spark, and the broader Databricks ecosystem is required.
• Deep expertise in designing modern data platforms that support advanced analytics, machine learning, and AI use cases is essential.
• Strong understanding of data modeling techniques for both structured and unstructured data in distributed computing environments is necessary.
• Experience in designing architectures that support machine learning workflows, including feature engineering, model training, and deployment is required.
• Proficiency with data orchestration tools and frameworks that integrate with Databricks is needed.
• Hands-on experience with SQL, Python, and Scala for data processing and analysis is mandatory.
• Knowledge of data governance, security, and compliance considerations in enterprise data architectures is essential.
• Experience with cloud platforms (AWS, Azure, or GCP) and their native data services is required.
• Familiarity with modern software development practices, including version control, CI/CD, and infrastructure as code is necessary.
• Experience with designing architectures that support real-time and streaming data processing is required.
• Strong problem-solving skills and the ability to navigate complex technical and organizational challenges are essential.
• Excellent communication skills with the ability to translate complex technical concepts to both technical and non-technical audiences are necessary.
• A Bachelor’s degree in Computer Science, Information Systems, or a related field is required; a Master’s degree is preferred.
• Professional certifications related to Databricks, cloud platforms, or data architecture are a plus.

Benefits:

• Resilinc offers comprehensive benefits that are specific to each country, including healthcare coverage.
• Employees are eligible to participate in the employee stock option program and retirement benefits.
• Paid time off and learning and development opportunities are provided to all employees.
• The company is well-funded, profitable, and shows no signs of slowing down, allowing for a dynamic work environment.
• Resilinc emphasizes a lean and fast-paced work culture that adapts quickly to customer needs.