Senior Manager Data Platforms and Engineering at Altron Bytes Systems Integration

Job Description

KEY RESPONSIBILITIES:

Data Product Strategy and Best Practices

• Develop and implement the organisation’s data strategy.
• Ensure data availability in a secure, actionable, and reliable manner.
• Collaborate with external third parties as needed.
• Make data-driven decisions and provide strategic recommendations for data product enhancements, iterations, and new feature development.
• Collaborate with cross-functional teams to gather insights, conduct user research, and validate hypotheses.

CORE RESPONSIBILITIES:

Technical Expertise

• Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
• Develop and maintain scalable and efficient data pipelines and architectures.
• Ensure optimal architecture and performance of applications deployed on Azure.
• Provide expertise in cloud security, ensuring compliance with industry standards and company policies.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Manage the full lifecycle of data and analytics solutions, from requirements gathering to deployment and maintenance.
• Design and execute a data engineering roadmap.
• Oversee the movement of large data volumes into data lakes.
• Familiarity with visualization tools (e.g., Tableau, Power BI, D3).
• Experience with CI/CD, data architectures, and code version control systems (e.g., Git).

Data Science and Modelling

• Understand predictive modelling and machine learning models.
• Handle complex, multi-dimensional data (structured, unstructured, and streaming).

Leadership and Team Management

• Lead, develop, and grow a team of data engineering specialists.
• Foster a culture of agility, collaboration, and transparency within the team.
• Manage the effective achievement of operating company objectives through effective leadership and by setting individual objectives, managing performance, developing and motivating the team to maximise performance.
• Build and manage a high-performing team by providing leadership, role clarity, training, and career development.
• Ensure open communication channels with staff and implement change management interventions where necessary.
• Provide definition of roles, responsibilities, individual goals, and performance objectives for the team.
• Set KPIs and provide regular performance feedback through a well-defined and implemented performance review program within the operating company.
• Encourage knowledge transfer through development and implementation of a knowledge transfer plan and drive continuous improvement philosophy through the knowledge transfer plan.
• Performance manage resources in accordance with policy and legislation where necessary.
• Promote an ‘Altron centric’ and ‘partnership approach’ to develop strong relationships with other working groups and ensure adherence to Group governance.

QUALIFICATIONS, EXPERIENCE, & SKILLS:

Educational Qualifications:

• Bachelor’s degree in science, Technology, Engineering, or Mathematics.
• Azure Data Engineering or Databricks Certification.
• Additional Azure Certifications like Azure ML, Analytics Specialty, or Azure Solutions Architect.

Professional Qualifications:

• N/A.

Years of Experience:

• Minimum 7 years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory.
• Minimum 7 years of experience with designing and implementing data solutions using Azure Cloud.

Other Requirements:

• Strong knowledge of programming languages such as Spark, Python, SQL, or Scala.
• Experience with data modelling, ETL/ELT development, data integration and orchestration techniques.
• Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory.
• Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
• Strong communication skills.
• Organisational and prioritisation skills.
• Ability to thrive in a fast-paced environment requiring a high degree of productivity, adaptability, innovation, and follow-through technology and system savvy.
• A proven ability to do both tactical work and set an overall strategy when working on a project—seeing beyond the data to anticipate the next step or question.
• Ability to maintain supreme levels of ethical behavior and confidentiality.
• Ability to identify opportunities for improvement.
• Excellent negotiation skills.
• Management experience to produce long-term strategies around operations management aligned to overall operating company strategy.
• A good knowledge of business processes.
• Excellent organisational and prioritisation skills.
• Finger on the pulse of up-and-coming trends in relation to development management.
• Strong influencing skills.
• Strong commercial and financial acumen.
• Strong problem-solving abilities.
• Strong analytical thinking skills.
• Ability to drive innovation.