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Christoph Dittmann
Manager Solutions Engineering

About

I am a 44-year-old husband and father of two daughters who remains driven by a relentless curiosity to learn something new every day. With over 17 years of professional experience, I have navigated a diverse range of technical and leadership roles, most recently focusing on the high-impact challenge of scaling a startup’s solutions engineering presence from the ground up within the region. I take pride in guiding customers through their observability and security journeys by bridging the gap between complex technical requirements and business success. While I have transitioned into a role focused on regional growth and scaling teams, I make it a priority to keep my hands-on technical skills sharp. My leadership philosophy is simple: I believe in empowering every team member to reach their full potential, while remaining "in the trenches" to ensure our collective success. I am always eager to explore new ideas and thrive in collaborative, forward-thinking environments.

Work Experience

Cribl
Munich, Bavaria, Germany
https://cribl.io
June 2025 – Present
Manager Solutions Engineering Northern & Central Europe
Promoted to lead and scale the Solutions Engineering organization across Northern and Central Europe. Responsible for regional growth, team development, and ensuring technical excellence in the field.
Highlights
  • Scaling a startup's solutions engineering presence to reach regional scale.
  • Developing and managing a high-performing team of SEs across multiple European territories.
Cribl
Munich, Bavaria, Germany
https://cribl.io
November 2024 – June 2025
Staff Solutions Engineer
Senior technical leadership role focused on complex architectural solutions and mentoring the growing engineering team.
Cribl
Munich, Bavaria, Germany
https://cribl.io
September 2023 – November 2024
Senior Solutions Engineer
Joined as the first Solutions Engineer in the region, instrumental in establishing the initial technical footprint and growing the customer base.
Highlights
  • First SE hire in the region, helping to build the foundation for regional expansion.
  • Rising Goat Award Winner at New Hire Bootcamp
LC Systems
Munich, Bavaria, Germany
https://www.lcsystems.de
January 2019 – August 2023
Head of Data Solution Services
LC Systems GmbH is an IT consultancy company providing professional & managed services for data analytics solutions. As the Head of Data Solutions Services I am responsible for our product and solution portfolio. Leading a team of 15 consultants is part of my daily work as well as customer engagement and presales.
Highlights
  • Splunk Managed Service Provider
  • Splunk Platform Migration to the Cloud
  • End-to-end Observability
  • Architecture & implementation of a SIEM platform
  • Security use case development
  • Ingtegration of a SOAR platform
LC Systems
Munich, Bavaria, Germany
https://www.lcsystems.de
August 2018 – December 2018
Operations Manager
As the team lead for our analytics solutions I am responsible for customer engagements, project coordination and ressource planning without staff management duties.
Highlights
  • Architecture of a HA & DR multi-site analytics platform
  • Automation of release management with IaC
LC Systems
Munich, Bavaria, Germany
https://www.lcsystems.de
December 2016 – July 2018
Management Consultant Data Analytics
As a management consultant I am responsible for our key accounts, supporting them with my technical expertise in their digital journey. This happens across the whole customer lifecycle, from presales to prove of concepts, architecture and design to implementation.
Highlights
  • Architecture and implementation of a PCI-DSS compliant platform
  • Migration from a standalone environment to a cluster
  • 1st & 2nd level security analyst
LC Systems
Munich, Bavaria, Germany
https://www.lcsystems.de
August 2015 – December 2016
Senior Consultant
As a senior consultant I am responsible for customer project management and implementation. I am writing design concepts and implement customer use cases, custom data onboarding with python and dashboards & visualizations.
Highlights
  • Custom data integration of a REST API endpoint
  • Implementation of a glass table using Splunk Django Web Framework
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
May 2014 – July 2015
Data Scientist - Operational Analytics
As a data scientist I am tasked with data preparation, cleansing, analysis and visualization of the online order and SIM card activation process.
Highlights
  • End-to-end Business Process Monitoring with Splunk
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
August 2013 – April 2014
Data Quality Engineer for Big Data Products
As part of an international project I am analysing the data preparation and enrichment quality of cell handover data. I am responsible to detect, present and communicate unknown quality issues.
Highlights
  • Big Data quality assurance for geo spatial data
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
June 2012 – July 2013
Team Lead Proactive Analysis & Innovation / Senior Data Scientist
As team lead (without staff management responsibilities) I am developing new techniques to effectively communicate information to upper management. In addition I am analysing new evolving market trends and their potential impact.
Highlights
  • Analysis of over the top service impact on messaging revenue
  • Introduction of new visualization techniques and story telling with data
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
December 2010 – December 2011
Business Analyst
As business analyst I am responsible for the shop sales KPI prediction and preparation which is being used as baseline to estimate quarterly targets.
Highlights
  • Prediction of shop sales KPI and calculation of quarterly targets
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
January 2008 – November 2010
Data Warehouse Designer
As part of the Data Warehouse department I am responsible for the development of a new data mart used by the Business Analytics department. The duties include requirements engineering, proof of concepts, implementation and operations.
Highlights
  • Architecture, design and implementation of an analytics data mart
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
March 2007 – December 2007
Junior Data Warehouse Designer / Freelancer
As junior data warehouse designer I am responsible for the Usage ETL load jobs development and operations in a DevOps approach.
Highlights
  • Operations of a daily multi GigaByte ETL ingestion
Telefónica Germany
Munich, Bavaria, Germany
https://www.telefonica.de
August 2006 – February 2007
Working Student
As part of my Master Thesis I am analysing the impact of cell tower KPI changes on the audio quality of a phone call.
Highlights
  • Statiscal model to predict audio quality based on cell tower KPIs
Qimonda
Munich, Bavaria, Germany
https://www.qimonda.com
July 2004 – July 2006
Working Student
I am responsible to build a reporting based on VB code and Excel to report weekly yield KPIs during the chip manufactoring process.

Awards

  • August 2015

    Splunk

    Splunk Apptitude2 Competition 2015 - Fraud / Insider Threat Category Winner

    Splunk>Apptitude is an online competition for the next big app in big data. Fraud / Insider Threat Category Winner (https://devpost.com/software/hyperthreat)

Contact

Moosburg a.d. Isar, Bavaria 85368 DE
+49 171 6386006
christoph@famdittmann.de
https://www.cdvitae.de
LinkedIn
christoph-dittmann-41750ba5
GitHub
mulibu-flyingk

Education

  • 2005 2007

    Technische Universität München

    Master of Science (M.Sc.)

    Business Informatics

  • 2002 2005

    Technische Universität München

    Bachelor of Science (B.Sc.)

    Business Informatics

  • 1992 2002

    Karl-Ritter-von-Frisch Gymnasium

    General University Entrance Qualification

Skills

Observability 100
Cribl Splunk SPL Datadog Log Analysis OpenTelemetry Kubernetes
Cyber Security 90
SIEM SOAR Advanced Threat Detection Threat Investigation & Response
Management 100
Team Management Project Management Scrum Leadership
Amazon Web Services 80
EC2 EKS ECR CloudFormation S3 Route53 IAM
Infrastructure as Code 75
Ansible Terraform
Web Development 60
HTML CSS Javascript React
Programming 70
Linux Python NodeJS Flask Regex

Publications

Data Gateways: das Tor zur sinnvollen Datennutzung
ComputerWeekly
25 August 2021
https://www.computerweekly.com/de/meinung/Data-Gateways-das-Tor-zur-sinnvollen-Datennutzung

Digitalisierung und Automatisierung führen in vielen Unternehmen zu einem Kommunikationschaos. Zentrale Data Gateways können das Chaos beseitigen.

Data Gateways – und die KI profitiert von Vorarbeit
BigData Insider
06 August 2021
https://www.bigdata-insider.de/data-gateways-und-die-ki-profitiert-von-vorarbeit-a-1037972/

Moderne Unternehmen setzen zur Entscheidungsfindung vermehrt auf Daten-Analysesysteme, die mit KI-Komponenten ausgestattet sind. Je stärker diese Werkzeuge in Managementprozesse eingreifen, desto mehr ähneln ihre Ansprüche an die Qualität der Ausgangsdaten denen menschlicher Entscheider. Data Gateways können ihnen bei der Aufbereitung von Informationen perfekt zuarbeiten.

Data Gateways: Dolmetscher für Logs und Analysen
LANline
19 July 2021
https://www.lanline.de/it-management/data-gateways-dolmetscher-fuer-logs-und-analysen.253191.html

In stark digitalisierten und automatisierten Unternehmen müssen vermehrt Maschinen und Anwendungen Informationen austauschen, die verschiedene Sprachen sprechen und in völlig verschiedenen Umgebungen untergebracht sind. Das erinnert an die Situation einer internationalen Konferenz – und tatsächlich gibt es noch eine weitere Ähnlichkeit: In beiden Fällen ist ein zentraler Dolmetscherdienst eine effektive Lösung für eine sinnvolle Kommunikation.

Log Data Management Systeme: Das Must-Have-Tool für die digitale Transformation
IT Daily
04 September 2020
https://www.it-daily.net/it-management/business-software/25238-log-datamanagement-systeme-das-must-have-tool-fuer-die-digitale-transformation

Wenn Datenmengen und Datennutzung sich häufen, dann sind unvorhergesehene Ereignisse und Fehler nicht weit. Dagegen kann ein Log Data Management (LM) System Wunder wirken. Die Vorteile: Es ist kosteneffektiv, agil und benutzerfreundlich.

Eventdaten im richtigen Format
BigData Insider
07 August 2020
https://www.bigdata-insider.de/eventdaten-im-richtigen-format-a-949340/

Das Datenwachstum und die damit verbundenen Aktionen in einer Infrastruktur verursachen in allen Systemkomponenten eine Fülle von Events. Fehler und Probleme sind vorprogrammiert. Mit einem kosteneffektiven und optimierten Log-Data-Management-System sind diese Unregelmäßigkeiten leicht in den Griff zu bekommen. Im Vergleich zu klassischen Datenbanken oder Data Warehouses ist die Planung dieser Lösungen vergleichsweise einfach.

Interests

Sailing
Costal Inland
Chess
Rapid Blitz Puzzles