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About the Role

This role focuses on leveraging deep expertise in data modeling, data warehousing, and lakehouse patterns to integrate data platforms with applications. The position requires a strong understanding of cloud architecture and client-facing experience.

Responsibilities

• Integrate data platforms with applications using APIs, services, or event-driven patterns.
• Engage with both technical and business stakeholders.
• Gather requirements, design solutions, and communicate with executives in client-facing consulting roles.

Requirements

• 7+ years of IT experience.
• Experience with Databricks (data engineering, SQL, notebooks, app/backend integration patterns).
• Experience with enterprise data warehouses and lakehouse platforms (Fabric, Snowflake, Synapse, BigQuery are a plus).
• Deep knowledge of data modeling, data warehousing, and lakehouse patterns.
• Hands-on experience with at least one modern data platform.
• Solid understanding of cloud architecture concepts (security, networking, scalability, cost management).
• Experience working in client-facing or consulting environments.
• 4+ years experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting.
• Deep hands-on experience with Databricks Lakehouse Platform and Apache Spark.
• Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL.
• Experience implementing Unity Catalog, data governance, and enterprise security controls.
• Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks.
• Familiarity with CI/CD, DevOps, and automation for Databricks workloads.
• 8–12+ years in data engineering or architecture.
• 4–5+ years delivering Databricks solutions.
• Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication.

Skills

• Databricks
• Data engineering
• SQL
• Notebooks
• App/backend integration patterns
• Enterprise data warehouses
• Lakehouse platforms
• Fabric
• Snowflake
• Synapse
• BigQuery
• Data modeling
• Data warehousing
• APIs
• Services
• Event-driven patterns
• Cloud architecture
• Security
• Networking
• Scalability
• Cost management
• Communication skills
• Apache Spark
• PySpark
• Delta Lake
• Databricks SQL
• Unity Catalog
• Data governance
• Enterprise security controls
• Azure Databricks
• AWS Databricks
• GCP Databricks
• CI/CD
• DevOps
• Automation

Location

• USA

Experience Level

• 5+ years
• 7+ years
• 4+ years
• 8-12 years
• 4-5 years

Education Level

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field

About the Company

• Datavail is a leading provider of data management, application development, analytics, and cloud services, with over 1,000 professionals.
• Datavail helps clients build and manage applications and data via a tech-enabled delivery platform and software solutions across all leading technologies.
• For over 17 years, Datavail has worked with thousands of companies spanning different industries and sizes.
• Datavail is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.
• Datavail’s Data Management and Analytics practice consists of experts providing consulting, development, design, and support for database, data warehouse, data lake, data integration, and reporting environments.
• Datavail’s data intelligence consultants are experienced, knowledgeable, and certified in BI and analytics software applications and technologies.
• Datavail ascertains business objectives, goals, and requirements, assesses environments, and recommends suitable tools.
• Datavail’s proven methodology and delivery model ensure project success.
• Datavail’s flexible and client-focused services add value to organizations.