Senior Solutions Engineer

Centangle Interactive Private Limited; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Centangle Interactive Private Limited is seeking a Senior Solutions Engineer to independently lead technical engagements, owning discovery, solution design, demonstrations, and proofs of concept. You will combine hands-on architecture with business acumen to drive customer adoption of the Databricks Platform.

You will build relationships with customer engineers, data teams, and executives, translating complex capabilities into measurable business value and outcomes while developing account-level

Qualifications

• 3+ years of experience in data engineering, solutions architecture, pre-sales or related hands-on roles.
• Experience designing data solutions on AWS, Azure, or GCP.
• Proficiency in Python, SQL, Scala, Java or similar language.
• Experience with data engineering, ETL/ELT, ML / AI, or related areas.
• Experience leading discovery, architecture reviews, and customer presentations.
• Strong presentation and storytelling skills; able to speak to technical and business audiences.
• Bachelor's or master's in CS/Engineering or equivalent practical experience.

Responsibilities

• Lead technical discovery and solution design for data workloads across engineering, analytics, ML, and AI.
• Develop demonstrations and proofs of concept using the Databricks Platform.
• Own relationships with customer engineers, data teams, leaders, and executives.
• Translate complex tech into clear business value and outcomes.
• Develop account-level technical strategies with the Account Executive.
• Guide architecture decisions and integration with cloud and third-party tools.
• Create notebooks, accelerators, reference architectures, and enablement materials.
• Contribute to workshops, meetups, and the broader technical community.

Skills

Data engineering

Solutions architecture

Technical pre-sales

Consulting

Live demonstrations

Python

SQL

Scala

Java

Education

Bachelor's degree in CS/Engineering

Master's degree (preferred)

Tools

Databricks Platform

Unity Catalog

MLflow

Delta Lake

Apache Spark

Job description

As a Senior Solutions Engineer, you will independently lead technical engagements with customers, owning discovery, solution design, demonstrations, and proofs of concept. You will combine hands-on technical expertise with strong communication and business acumen to help customers adopt Databricks and achieve measurable outcomes.

The Impact You Will Have

• Lead technical discovery and solution design for workloads spanning data engineering, analytics, machine learning, and AI.
• Build and deliver compelling demonstrations and proofs of concept using the Databricks Plaƞorm.
• Own relationships with customer engineers, data teams, technical leaders, and executives.
• Translate complex technical capabilities into clear business value and measurable outcomes.
• Develop account-level technical strategies in partnership with the Account Executive.
• Guide architecture decisions and help customers integrate Databricks with cloud, open-source, and third-party technologies.
• Navigate competitive evaluations and clearly articulate Databricks' technical and business differentiation.
• Create reusable notebooks, solution accelerators, reference architectures, and technical enablement materials.
• Contribute to workshops, seminars, meetups, and the broader technical community.

What We Look For

• 3+ years of experience in data engineering, solutions architecture, technical pre-sales, consulting, or a related hands-on technical role.
• Hands-on experience designing and implementing data soluƟons on AWS, Azure, or GCP.
• Proficiency in Python, SQL, Scala, Java, or another relevant programming language.
• Experience with one or more areas such as data engineering, ETL/ELT, streaming, data warehousing, machine learning, MLOps, or generative AI.
• Experience leading technical discovery, whiteboarding, architecture reviews, and customer presentations.
• Strong presentation, storytelling, and live demonstration skills.
• Ability to communicate effectively with both technical and non-technical audiences.
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related discipline—or equivalent practical experience.

Nice to Have

• Databricks certification or hands-on experience with the Databricks Plaƞorm.
• Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, MLflow, Apache Spark, Delta Lake, or related technologies.
• Background with a data or AI company, cloud provider, or technical consulting firm.
• Experience supporting enterprise or strategic customer accounts.