Senior Data Architect – m/f/d

Jobtailor; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a seasoned data platform architect to design and evolve reliable data platforms that power analytics and data intelligence in complex environments.

You will operate across on-premises and cloud solutions, drive data integration quality, and establish DataOps observability with a focus on accuracy and discoverability. Strong leadership and exceptional communication to senior stakeholders are essential.

Qualifikationen

• Solid knowledge of modern data architectures, platforms, technologies, and paradigms.
• Professional software development experience and cloud services.
• Hands-on experience with SaaS offerings such as Databricks or Snowflake.
• Several years in data engineering, including some years in technical leadership.
• Excellent analytical skills and ability to communicate complex topics to non-technical stakeholders.
• Comfortable in conversations with senior leadership.

Aufgaben

• Design, build, and develop reliable data platforms and architectures to support analytics and data intelligence.
• Navigate tools and methodologies for data architectures and help clients choose on-premises or cloud solutions.
• Ensure consistent data integration and smooth data flow with focus on data quality and accessibility.
• Establish DataOps practices and observability to ensure data accuracy, discoverability, and reliability.

Kenntnisse

Data Architecture Design

Cloud Services Proficiency

SaaS Experience

Data Engineering Leadership

Data Quality Assurance

Tools

Databricks

Snowflake

Jobbeschreibung

• You design, build, and continuously develop reliable data platforms and architectures that support analytics and data intelligence.
• You confidently navigate a wide range of tools and methodologies related to data architectures and help our clients find the right solution—on-premises or in the cloud.
• You ensure consistent data integration and smooth data flow across systems, with a strong focus on data quality and accessibility.
• You establish DataOps practices and observability to ensure data accuracy, discoverability, and reliability.

Requirements

• You have solid knowledge of modern data architectures, platforms, technologies, and paradigms.
• Professional software development experience and the use of cloud services are second nature to you.
• You have hands‑on experience with SaaS offerings such as Databricks or Snowflake.
• You have worked in data engineering for several years, ideally including some years in technical leadership roles.
• You possess excellent analytical skills and can communicate complex technical topics clearly—even to non-technical stakeholders.
• You are as comfortable in the technical engine room as you are in conversations with senior leadership.

Core Competencies

Demonstrates expertise in designing and building data platforms and architectures, with a strong focus on data quality, integration, and accessibility. Proficient in DataOps practices and capable of communicating complex technical concepts to diverse audiences.

Highest-signal resume keywords

• Data Architecture Design
• Cloud Services Proficiency
• SaaS Experience (Databricks, Snowflake)
• Data Engineering Leadership
• Data Quality Assurance

ATS Optimization Keywords

Hard Skills

• Data Integration
• Data Flow Management
• DataOps Practices
• Analytics Support
• Technical Leadership

Soft Skills

• Analytical Skills
• Communication Skills

Industry Keywords

• Data Platforms
• Data Intelligence
• Data Accessibility
• Data Discoverability
• Data Reliability

Tools & Technologies

• Databricks
• Snowflake