Modern Data Platform Lead
About the Role:
We are seeking a highly skilled Modern Data Platform Lead to oversee the design, implementation, and management of customer data platforms. As a leader in our data engineering team, you will be responsible for ensuring that customer data infrastructure is robust, scalable, and aligned with business needs.
Key Responsibilities:
* Team Leadership:
o Lead, mentor, and develop a team of data engineers.
o Foster a collaborative and high-performance team culture.
o Manage team workload, ensuring timely and quality delivery of projects.
* Platform Development and Management:
o Oversee the design and implementation of the modern data platform, including data lakes, data warehouses, and ETL processes.
o Ensure the platform is scalable, secure, and optimized for performance.
o Continuously evaluate and integrate new data technologies and tools.
* Data Management:
o Help respond to customer tenders and grow the business.
o Define and implement data governance policies and best practices.
o Ensure data quality, integrity, and security across the data platform.
o Collaborate with stakeholders to align the data platform with business objectives.
* Project Management:
o Develop and manage project plans, including timelines, milestones, and resource allocation.
o Monitor project progress and performance, addressing any issues that arise.
o Report on project status to senior management and stakeholders.
* Stakeholder Collaboration:
o Work closely with business units, data scientists, and analysts to understand data needs and requirements.
o Translate business requirements into technical specifications for the data platform.
o Provide technical guidance and support to stakeholders on data platform capabilities.
Qualifications:
* Education and Experience:
o Bachelor's degree in Computer Science, Information Technology, or a related field.
o Years of experience in data engineering, data architecture, or a related role.
o Proven experience in leading data teams and managing data platform projects.
* Technical Skills:
o Proficiency in database management systems (e.g., MySQL, SQL Server, Oracle) and data modelling.
o Experience with data integration tools and technologies.
o Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
o Strong knowledge of Databricks, Synapse, Data Lakehouse, Snowflake, Redshift, big data technologies (e.g., Hadoop, Spark).
o Expertise in SQL and other query languages.
* Soft Skills:
o Excellent leadership and team management skills.
o Strong problem-solving and analytical skills.
o Effective communication and collaboration skills.
o Ability to manage multiple projects and prioritize tasks effectively.