Lead Technical Consultant – Databricks

Arbi Arredobagno

Lead Technical Consultant at Argano designing and delivering Data Engineering solutions using Databricks. Client-facing role mentoring teams and guiding technical delivery from requirements to deployment.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $102,963 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical delivery of Databricks solutions, including data pipeline development, cloud integration, and data governance practices. Proficient in collaborating with stakeholders and mentoring teams to ensure high-quality project outcomes.

Highest-signal resume keywords

Databricks Platform ExperiencePython ProgrammingApache Spark/PySpark DevelopmentData Pipeline DevelopmentCloud Integration (Azure, AWS, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DatabricksPythonSQLApache SparkETL/ELT FrameworksDelta LakeData Pipeline DevelopmentGit-based DevelopmentCI/CDAgile Delivery

Soft Skills

Client-Facing ConsultingTeam LeadershipMentoringCollaborationCommunication

Tools & Technologies

Unity CatalogMLflowData WarehousingData LakeAnalytics Tools

Certifications & Qualifications

Databricks Data Engineer AssociateDatabricks Data Engineer Professional

Industry Keywords

Data EngineeringAnalytics EngineeringTechnical ConsultingData GovernanceSolution Design

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact

Lead the technical delivery of Databricks workstreams across requirements, design, development, testing, deployment, and transition to support.
Gather and analyze business and technical requirements and translate them into practical solution designs, implementation plans, and technical specifications.
Design and build scalable data pipelines and lakehouse solutions using Databricks, Apache Spark/PySpark, Python, SQL, and Delta Lake.
Lead the deployment and integration of Databricks with cloud data platforms, source systems, data warehouses, analytics tools, and downstream applications.
Configure and optimize Databricks jobs, workflows, clusters, notebooks, compute resources, and data pipelines for performance, reliability, scalability, and cost efficiency.
Implement data governance, security, access controls, lineage, and compliance practices using Unity Catalog and related cloud services.
Establish development standards and lead design reviews, code reviews, unit testing, documentation, version control, CI/CD, and troubleshooting within the assigned workstream.
Lead estimation activities, identify technical dependencies and risks, and help define realistic development timelines and delivery goals.
Guide and mentor consultants and engineers, delegate technical tasks, and ensure the team delivers consistent, high-quality work.
Collaborate with client and cross-functional stakeholders, produce technical documentation, and facilitate solution walkthroughs, issue resolution, knowledge transfer, and enablement.
Evaluate relevant Databricks capabilities and emerging technologies and recommend practical improvements that strengthen solution quality and delivery.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field; equivalent relevant experience may be considered.
5-10 years of experience in technical consulting, data engineering, analytics engineering, software development, or related technology roles.
At least 3 years of hands-on experience designing, developing, and delivering solutions on the Databricks platform.
Demonstrated experience leading a technical workstream or small delivery team on mid- to large-scale client implementations.
Strong hands-on experience with Python, SQL, Apache Spark/PySpark, ETL/ELT frameworks, and data pipeline development.
Experience with key Databricks capabilities such as Delta Lake, Unity Catalog, Workflows/Jobs, notebooks, compute or cluster management, and platform administration concepts.
Experience integrating Databricks with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Strong understanding of lakehouse, data lake, data warehouse, batch and streaming processing, data modeling, and modern analytics concepts.
Experience with Git-based development, DevOps, automated testing, CI/CD, Agile delivery, and managing multiple priorities or workstreams.
Client-facing consulting experience, including requirements discussions, technical workshops, solution presentations, estimation, and delivery communication.
Databricks Data Engineer Associate, Databricks Data Engineer Professional, or another relevant Databricks certification is preferred.
Experience with MLflow, machine learning workflows, real-time or streaming solutions, or Databricks SQL is a plus.
Experience supporting technical discovery, solution estimates, proposals, or statements of work in partnership with architects and sales teams.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Arbi Arredobagno Website LinkedIn All Job Openings 51 - 200 employees Founded 1987 👥 B2C 🛒 Retail B2C
Retail
Manufacturing Arbi Arredobagno is a leading Italian company specializing in bathroom furniture design and manufacturing. With over thirty years of experience, Arbi stands out for its innovative approach, blending cutting-edge technology with elegant design. The company offers a wide range of bathroom products, including cabinets, washbasins, showers, and accessories, all crafted with a focus on quality and customer satisfaction. Arbi collaborates with renowned designers to create stylish and functional bathroom solutions that cater to various preferences. Emphasizing the importance of Made in Italy craftsmanship, Arbi continues to solidify its reputation as an industry leader in bathroom furnishings. Lead Technical Consultant – Databricks Job not on LinkedIn 🔥 1 hour ago 🇺🇸 United States – Remote 💵 $103k - $150k / year ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Apache AWS Azure Cloud ETL Google Cloud Platform PySpark Python Spark SQL Unity Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead the technical delivery of Databricks workstreams across requirements, design, development, testing, deployment, and transition to support.
Gather and analyze business and technical requirements and translate them into practical solution designs, implementation plans, and technical specifications.
Design and build scalable data pipelines and lakehouse solutions using Databricks, Apache Spark/PySpark, Python, SQL, and Delta Lake.
Lead the deployment and integration of Databricks with cloud data platforms, source systems, data warehouses, analytics tools, and downstream applications.
Configure and optimize Databricks jobs, workflows, clusters, notebooks, compute resources, and data pipelines for performance, reliability, scalability, and cost efficiency.
Implement data governance, security, access controls, lineage, and compliance practices using Unity Catalog and related cloud services.
Establish development standards and lead design reviews, code reviews, unit testing, documentation, version control, CI/CD, and troubleshooting within the assigned workstream.
Lead estimation activities, identify technical dependencies and risks, and help define realistic development timelines and delivery goals.
Guide and mentor consultants and engineers, delegate technical tasks, and ensure the team delivers consistent, high-quality work.
Collaborate with client and cross-functional stakeholders, produce technical documentation, and facilitate solution walkthroughs, issue resolution, knowledge transfer, and enablement.
Evaluate relevant Databricks capabilities and emerging technologies and recommend practical improvements that strengthen solution quality and delivery. 🎯 Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field; equivalent relevant experience may be considered.
5-10 years of experience in technical consulting, data engineering, analytics engineering, software development, or related technology roles.
At least 3 years of hands-on experience designing, developing, and delivering solutions on the Databricks platform.
Demonstrated experience leading a technical workstream or small delivery team on mid- to large-scale client implementations.
Strong hands-on experience with Python, SQL, Apache Spark/PySpark, ETL/ELT frameworks, and data pipeline development.
Experience with key Databricks capabilities such as Delta Lake, Unity Catalog, Workflows/Jobs, notebooks, compute or cluster management, and platform administration concepts.
Experience integrating Databricks with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Strong understanding of lakehouse, data lake, data warehouse, batch and streaming processing, data modeling, and modern analytics concepts.
Experience with Git-based development, DevOps, automated testing, CI/CD, Agile delivery, and managing multiple priorities or workstreams.
Client-facing consulting experience, including requirements discussions, technical workshops, solution presentations, estimation, and delivery communication.
Databricks Data Engineer Associate, Databricks Data Engineer Professional, or another relevant Databricks certification is preferred.
Experience with MLflow, machine learning workflows, real-time or streaming solutions, or Databricks SQL is a plus.
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