Data Engineer - Databricks & Snowflake

Slalom; Bogotá; Híbrido; COP 60.000.000 - 90.000.000; Jornada completa

Descripción de la vacante

Slalom’s Enhance & Operate team seeks a hands-on Data Engineer to build and improve data pipelines within a modern Databricks and Snowflake EDW ecosystem. You will monitor pipelines, resolve incidents, and implement code enhancements to improve reliability and performance in a service-oriented environment.

You’ll work across regions in an all-shore delivery model, partnering with technical and non-technical stakeholders to drive operational excellence and data quality.

Formación

• 2-3 years of data engineering, ETL/ELT development, or production support for data platforms.

Responsabilidades

• Build, enhance, and troubleshoot data pipelines and ELT/ETL processes in Databricks and Snowflake.
• Monitor data batch cycles and respond to failures, latency, or data-quality issues.
• Diagnose production incidents and perform root cause analysis with documentation and fixes.
• Drive operational improvements: automation, alert tuning, performance optimization, and reliability enhancements.
• Work within ITIL/ITSM workflows and communicate clearly with technical and business stakeholders.
• Collaborate with regional teams to share context and ensure smooth handoffs.

Conocimientos

SQL

Python

Databricks

Snowflake

ETL/ELT

Herramientas

dbt

CI/CD

Git

Azure DevOps

ServiceNow

Control-M

Descripción del empleo

Slalom’s Enhance &Operate(E&O) team is looking for a hands-on Data Engineer who enjoys building and improving data pipelines and keeping production platforms running smoothly. In this role, you’ll support a modernDatabricks & Snowflake Enterprise Data Warehouse (EDW) ecosystem, combining data engineering fundamentals with operational excellence— monitoringpipelines, resolving incidents,developing code enhancements, andcontinuously improving reliability and performance in a service-oriented environment.

You’ll work with a highly collaborative, cross-regional delivery model (“all-shore”) and partner closely with both technical and non-technical stakeholders.

Work schedule: This rolemay requireshift coverage between 12:00 AM –12:00AMCentral Time (CT) (rotations may apply depending on team needs).

WhatYou’llDo

• Build, enhance, and troubleshoot data pipelines and Databricks and Snowflake ELT/ETL processes.
• Monitor daily/weekly/monthly databatchcycles and respond quickly to job failures, latency, or data-quality issues.
• Diagnoseandresolveproduction incidents withinService-Level Agreements (SLA)targets using SQL, Python , platform logs, documentation, and runbooks.
• Perform root cause analysis (RCA) , write documentation of findings, and implement fixes to prevent recurrence of issues.
• Drive operational improvements : automation, alert tuning, performance optimization, and reliability enhancements.
• Work within ITIL/ITSM workflows (ticketing, incident/problem management, change processes) and communicate clearly with both technical and business stakeholders.
• Collaborate with teammates across regions—sharing context early, documenting decisions, and maintaining strong handoffs.

What You Bring

Required

• A proactive, data platform service-focused mindset: youwill ownincidents, issues, and developmentworkend-to-end and follow your work through to resolution.
• A Problem-solving mindset; Willingness to learn and understand how issues and resolutions fit into the EDW system design
• Experience in working independently on assigned work; but also, comfortable collaborating with others to investigate and resolve issues; comfortable sharing concepts and information about issue resolution with teammates
• 2-3years of experience in data engineering, ETL/ELT development, or production support for data platforms.
• Strong SQL skills (debugging, performance awareness, data validation).
• Hands-on experience with Snowflake and Databricks .
• Comfort working in a fast-paced, consulting-oriented environment where priorities shift and outcomes matter.

Nice to have

• Experience with ServiceNow , Control-M , Azure DevOps , Git-based workflows, and/or CI/CD .
• Exposure to data observability/monitoring patterns, alerting, and platform logging.
• Familiarity with modern data tooling (e.g., dbt) or cloud data ecosystem patterns.
• Comfortable working in English in a day-to-day delivery environment (technical + collaboration).
• Clear, professional communication with global client and Slalom contacts.
• COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.

Why Slalom

At Slalom,you’lljoin a people-first culture that values customer outcomes, delivery excellence, and continuous learning . You’ll have the opportunity to deepen your cloud data engineering skills, contribute meaningful platform improvements, and grow alongside a rapidly expanding LATAM Data community with strong cross-region partnership and support.

What success looks like (first 3–6 months)

• You can independently troubleshoot common Databricks and Snowflake failures and stabilize recurring issues.
• You consistently meet incident response expectations and communicate status clearly.
• You deliver at least a few measurable improvements (automation, reduced failures, faster recovery, better monitoring).
• You’re a trusted partner to teammates and stakeholders—reliable, proactive, and collaborative.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

• COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.
• Working arrangements: At Slalom, we believe our best work happens through a combination of flexibility, autonomy, and meaningful in-person collaboration. We operate in a hybrid work environment designed to support both individual productivity and team connection. All team members are expected to work from the office at least one day per week. Team members with direct reports and team members who are not currently staffed on a client engagement are expected to work from the office at least two days per week. Attendance expectations may be adjusted from time to time based on business needs and client requirements
• Accessibility Commitment:
  We are committed to fostering belonging and actively welcome applications with disabilities.
• Reasonable Accommodations:
  If you require any adjustments or assistive support to participate in our recruitment or assessment process, please let us know at the time of application. We are committed to providing an equitable and accessible experience.
• Disability Certification:
  As part of our compliance with applicable Colombian labor regulations, if applicable, candidates may be asked to provide a valid disability certificate issued by an authorized health entity (e.g., EPS, IPS, or other competent authority). Disclosure is voluntary and will be handled with appropriate confidentiality.

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