Data Platform Manager

at  Axiom Software Solutions

Job Description
Job Title: Data Platform Manager
Location: Stockholm, Sweden
Duration: 6-12 month contract
Working model: (Hybrid-once a week)

QUALIFICATIONS

Experience in Data Delivery: Minimum 3 years of experience in data delivery, data engineering, or a similar role, with a proven track record of managing data pipelines in complex data landscapes.
Data Architecture Knowledge: Solid understanding of data integration methods, ETL/ELT processes, and familiarity with relevant technologies (e.g., data integration platforms, ADF, Logic Apps).
Data-Driven Approach: Excellent grasp of data modeling, data warehousing principles, and the importance of data in generating business insights.
Project Management Skills: Skilled in managing multiple projects simultaneously, allocating resources efficiently, and coordinating efforts across teams to achieve data integration objectives.
Communication: Outstanding communication abilities with both technical teams and business stakeholders.

ABOUT THE ROLE

We are seeking an experienced Platform Delivery Lead to head our data integration and delivery initiatives. In this pivotal role, you will work closely with product managers, data engineers, and platform experts to integrate and optimize data pipelines and processes, fostering a data-centric culture within the organization. Your responsibilities will include project management, coordination of tasks, and overseeing administrative processes, all while ensuring adherence to quality standards, strategic alignment, and the prompt delivery of actionable insights.

KEY RESPONSIBILITIES

Data and Integration Strategy Execution: Work in tandem with platform and data architects, as well as engineers, to develop and implement comprehensive data integration strategies. Ensure seamless tool interoperability and alignment with the overarching data architecture framework. Act as a program manager, outlining and planning key activities and milestones.
Pipeline Management: Direct the development, implementation, and maintenance of data pipelines, identifying and resolving any issues, enhancing efficiency, and ensuring accurate and reliable data flow.
Expertise in Data and Master Data Tooling: Demonstrate proficiency in data analytics, including an understanding of technical components and methodologies.
Communication and Collaboration: Lead effective communication across data and platform teams and with business stakeholders, maintaining transparency about integration efforts, resolving dependencies, and eliminating bottlenecks.