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Data Engineering Lead (Snowflake/Databricks)

salary Salary :

₱180,000 - 220,000 monthly

icon building Company : Likha Careers
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

Click to reveal the number of candidates who applied for this job.
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Job Description - Data Engineering Lead (Snowflake/Databricks)

Position Type: Experienced - Lead/Manager


Employment Type: Full-Time; Permanent (Direct Hire)


Work Setup & Location: Hybrid (2 days on-site) - Ortigas, Pasig


Work Schedule: Mondays - Fridays; Day Shift


Budget: Php 180,000 - Php 220,000


Industry: Global Restaurant




About the Job:


Our client is looking for a Data Engineering Senior Manager (Lead) who will play a key role in designing, developing, and implementing scalable data infrastructure and solutions. In this role, you will work closely with cross-functional teams to transform business requirements into innovative data-driven solutions. You will also oversee data security, governance, and compliance while mentoring junior engineers, ensuring continuous improvement in processes and technologies.



Qualifications:


  • Bachelor's Degree in Computer Science, Information Technology, or a related field.
  • At least 5 years of extensive experience in data engineering, with a proven track record of leading complex data projects and teams.
  • Advanced proficiency in programming languages such as Python, Java, or Scala, with expertise in software engineering best practices.
  • Extensive experience with data warehouse technologies, particularly Snowflake and Databricks, including optimization and strategic roadmap development.
  • Expertise in big data technologies like Hadoop, Spark, and Hive, with practical experience managing large-scale data environments.
  • Hands-on experience with real-time data streaming and event-driven architectures, using tools like Apache Kafka.
  • Strong understanding of data modeling, ETL processes, and data pipeline architecture, with a history of applying best practices.
  • Proven problem-solving abilities and the capability to troubleshoot and resolve complex data issues.



Preferred Qualifications:


  • Excellent communication and leadership skills, with a history of mentoring engineers and leading cross-functional teams.
  • Ability to work independently while also leading collaborative efforts within a team environment.
  • Experience driving the adoption of new tools and technologies and successfully integrating them into existing practices.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of data security and governance frameworks.
  • Familiarity with agile methodologies in data engineering.


Scope & Responsibilities:


  • Lead the design and implementation of scalable data pipelines, ensuring they meet performance, reliability, and security requirements.
    Collaborate with cross-functional teams to convert business requirements into advanced data solutions and ensure their seamless integration across the platform.
  • Optimize and manage data platforms such as Snowflake and Databricks, ensuring they meet scalability, performance, and cost-efficiency goals.
  • Ensure data governance, security, and compliance standards are consistently met across all data engineering initiatives.
  • Mentor and provide technical leadership to junior engineers, ensuring they are following best practices and continuously improving their skills.
  • Lead efforts in troubleshooting and resolving complex data issues, providing strategic and efficient solutions.
  • Guide the team through the adoption of new data engineering tools and technologies, integrating them into existing workflows to drive innovation and efficiency.
  • Oversee data modeling, ETL processes, and data pipeline architecture, ensuring best practices are followed to achieve high-quality outcomes.
  • Drive the integration of real-time data streaming and event-driven architectures using tools like Apache Kafka.
  • Maintain open communication with stakeholders and cross-functional teams to ensure alignment with business goals and to address challenges in real-time.


Company Profile:


Global fast-food company with restaurants in many countries, serving a mix of local and international flavors. It focuses on quality food, great service, and innovation. With both company-owned and franchised locations, it ensures a consistent dining experience. Committed to growth, it invests in technology and efficiency to stay a leader in the industry.




About Likha Careers:





Likha is a traditional Tagalog (Filipino) word that means ‘to create’ or creation. At its core, Likha Careers exists to help create a world where people from all walks of life have the opportunity to participate in a positive and rewarding career where happiness, pride, and financial security are achieved. We do this through thoughtful, people-centric career services.

Let’s create your career together!

Original job Data Engineering Lead (Snowflake/Databricks) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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