Job Description
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
We are currently looking for Technology Delivery Lead who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.
Technology Delivery Lead
Strategic Leadership:
• Develop and implement the strategic vision for the data analytics platform, ensuring alignment with organizational goals and objectives.
• Lead the design, development, and maintenance of a robust cloud data platform architecture, leveraging Databricks Lakehouse, AI, and ML technologies.
• Oversee the creation and promulgation of blueprints, roadmaps, and reference architectures for the data analytics infrastructure and services.
Program and Project Management:
• Manage a portfolio of data analytics projects, ensuring they are delivered on time, within
scope, and budget.
• Coordinate cross-functional teams, including business leads, system owners, architects,
engineers, and external vendors to deliver high-impact solutions.
• Implement robust project management practices, including risk management, stakeholder engagement, and performance tracking.
Technical Expertise:
• Provide expert guidance on data warehouse solutions, advanced analytics, data modeling, and the implementation of Databricks Lakehouse.
• Enhance cloud capabilities by developing and implementing cloud application patterns,
automating cloud services using infrastructure as code (IaC) tools such aCloudFormation and Terraform.
• Oversee the integration of diverse data sources, ensuring data quality and consistency, and
facilitate the transformation of data into actionable insights through AI and ML models.
• Architect and implement scalable and resilient data pipelines, ensuring efficient data
ingestion, processing, and storage in a cloud environment.
• Utilize modern cloud application architectures, including microservices, containerization, and
serverless computing, to optimize performance and cost-efficiency.
Compliance and Best Practices:
• Ensure compliance with industry standards, regulatory requirements, and best practices in cloud security, data governance, and access control.
• Monitor and audit cloud resources to ensure they adhere to security guardrails and best
practices.
• Develop and enforce policies and procedures for data management, ensuring the integrity and confidentiality of sensitive data.
Innovation and Continuous Improvement:
• Stay abreast of emerging technologies and trends in data analytics, cloud computing, AI, and ML.
• Drive innovation by researching and proposing new tools, methodologies, and frameworks to
enhance data analytics capabilities.
• Foster a culture of continuous improvement, encouraging team members to develop new skills and approaches to problem-solving.
Requirements
Education and Experience:
• Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.
• Minimum of 10 years of experience in data analytics, with at least 5 years in a leadership role managing large-scale data analytics projects.
• Proven experience with AWS cloud services, including setting up and managing cloud
infrastructure, and deep expertise in Databricks Lakehouse and AI/ML technologies.
Technical Skills:
• Proficiency in databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks), data
repositories (e.g., data lakes, data marts).
• Experience in data modeling, data transformation, and statistical computing (e.g., R, Python).
• Deep understanding of machine learning (MLOps), data visualization (e.g., Power BI,
Tableau), and event-driven architecture.
• Expertise in cloud-native technologies and services, including microservices, serverless
computing, and containerization (e.g., Docker, Kubernetes).
• Strong knowledge of cloud data platforms, including architecture design, data integration, and the implementation of scalable data pipelines.
Leadership and Management Skills:
• Strong leadership abilities with a track record of managing high-performing teams and
complex projects.
• Excellent program and project management skills, including the ability to prioritize tasks,
manage resources, and meet deadlines.
• Strong interpersonal and communication skills, with the ability to engage and influence
stakeholders at all levels.
Certifications:
• AWS Cloud Practitioner or AWS Architect certification.
• Databricks Certified Data Engineer Associate or Professional certification is a plus.
• Project Management Professional (PMP) or similar certification is highly desirable.
Additional Preferred Qualifications:
• Familiarity with healthcare informatics and data governance in the healthcare sector.
• Experience interacting with analytics stakeholders, including clinicians, policy makers, and economists.
Work Environment:
• Dynamic and collaborative work environment with opportunities to work on cutting-edge
projects that impact public health and administration and opportunities for professional growth and development within a leading healthcare IT organization
WHAT’S ON OFFER
You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.
To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected] Your interest will be treated with strict confidentiality.
CONSULTANT DETAILS:
Consultant Name : Seema Verma
Avensys Consulting Pte Ltd
EA Licence 12C5759
Privacy Statement:
We take your personal data protection seriously and adhere to both EU and local data protction regulations.
Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.
Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.
