Data & Analytics Platform Architect (Databricks/GCP)

Bestica Inc.; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Bestica Inc. is seeking an experienced Solution Engineer – Data & Analytics Platforms to bridge business requirements and technical delivery.

You will translate product and business needs into scalable, end-to-end technical solutions that enable engineering teams to deliver high-quality data and analytics platforms. You will design end-to-end architectures for data ingestion, transformation, analytics, and reporting, using Databricks and/or Google Cloud Platform (GCP).

Qualifications

• Experience in designing data and analytics solutions with Databricks and GCP.
• Hands-on data pipelines, ETL/ELT, data transformation, and analytics platforms.
• Ability to translate business requirements into scalable architectures.
• Experience working in Agile environments with cross-functional teams.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Translate business and product requirements into technical solution designs.
• Design end-to-end architectures for data ingestion, transformation, analytics, and reporting.
• Evaluate solution feasibility, platform readiness, and technical dependencies.
• Define scalable architectures using Databricks and/or Google Cloud Platform (GCP).
• Collaborate with product, engineering, analytics, and platform teams throughout the solution lifecycle.
• Identify technical risks, estimate solution complexity, and recommend delivery approaches.
• Support agile delivery by providing architectural guidance and refining solution designs as implementation evolves.
• Establish and maintain solution design standards and documentation.

Skills

Databricks

GCP

Data pipelines

ETL/ELT

Agile teamwork

Communication skills

Job description

Bestica Inc. is seeking an experienced Solution Engineer – Data & Analytics Platforms to bridge business requirements and technical delivery.

You will translate product and business needs into scalable, end-to-end technical solutions that enable engineering teams to deliver high-quality data and analytics platforms. You will design end-to-end architectures for data ingestion, transformation, analytics, and reporting, using Databricks and/or Google Cloud Platform (GCP).