Lead Data Engineer
Lead Data Engineer
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Job Description
We are seeking an experienced Lead Data Engineer to join our team. This role will lead our data engineering efforts manage a team of data engineers and work closely with stakeholders to deliver robust data solutions using Cloud technologies.
Responsibilities
- Lead and mentor a team of data engineers fostering professional growth and technical excellence
- Architect design and implement scalable data pipelines and processing systems using AWS services
- Establish data engineering best practices standards and governance frameworks
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions
- Drive technical vision and roadmap for data infrastructure and platforms
- Optimize existing data workflows for performance reliability and costeffectiveness
- Provide technical leadership in designing data models and ETL/ELT processes
- Conduct code reviews and ensure highquality implementations from team members
- Support stakeholders with datarelated inquiries and problemsolving
- Present technical solutions to both technical and nontechnical audiences
Requirements
Data Lake & Data Warehouse Expertise
- Proven experience designing and implementing enterprise data lake solutions
- Deep knowledge of data lake architecture patterns and best practices
- Experience with AWS Lake Formation and data cataloging solutions
- Strong understanding of data warehouse concepts including star/snowflake schemas
- Handson experience optimizing query performance in data warehouse environments
- Knowledge of data partitioning compression and storage optimization techniques
- Experience implementing data governance and security controls across data platforms
- Understanding of medallion architecture (bronze/silver/gold) or similar data quality frameworks
Leadership & Soft Skills
- 3 years of team leadership or management experience
- Proven ability to mentor junior engineers and develop team capabilities
- Excellent communication skills for collaborating with crossfunctional teams
- Strong problemsolving abilities and analytical thinking
- Experience in translating business requirements into technical solutions
- Ability to manage multiple priorities in a fastpaced environment
- Customerfocused mindset with experience in stakeholder management
Data Engineering Core Principles
- Demonstrated expertise in implementing data pipeline patterns and architectures
- Strong understanding of data integration patterns and practices
- Experience with data validation and testing methodologies
- Knowledge of data security and compliance requirements
- Commitment to automation CI/CD and infrastructure as code principles
- Experience with implementing logging monitoring and observability solutions
Good to Have Experience
- Experience with Databricks and Delta Lake architecture
- Knowledge of business intelligence tools particularly PowerBI Tableau and Qlik Sense
- Experience connecting data visualization tools to various data sources
- Familiarity with developing and maintaining data models for selfservice analytics
- Experience with orchestrating endtoend data pipelines from source systems through to visualization layers
- Understanding of semantic layer concepts and implementation approaches
Qualifications :
- 8 years of experience in data engineering roles
- 4 years of experience with AWS data services (including Glue Redshift S3 EMR Lambda Athena)
- Strong proficiency in SQL and at least one programming language (Python Scala or Java)
- Experience with big data technologies (Spark Hadoop ecosystem)
- Handson experience with data pipeline orchestration tools (Airflow Step Functions)
- Knowledge of data modeling database design and optimization techniques
- Experience implementing data quality controls and monitoring frameworks
- Understanding of data warehousing concepts and dimensional modeling
- Experience with realtime data processing frameworks
- Knowledge of machine learning operations and data science workflows
- Familiarity with data mesh or data fabric architectures
- Cloud certifications (AWS Certified Data Analytics Solutions Architect)
Additional Information :
BENEFITS & PERKS FOR WORKING AT OLLION
Our employees multiply their potential because they have opportunities to: Create a lasting Impact Learn and Grow professionally & personally Experience great Culture and Be your Whole Self!
Beyond an amazing collaborative work environment great people and inspiring innovative work we have some great benefits and perks:
- Benchmarked competitive inmarket total rewards package including (but not limited to): base salary & shortterm incentive for all employees
- We are a virtualbydefault small but Global organization; learn wherever whenever frees our people from a rigid view of learning and growth
- Retirement planning (i.e. CPF EPF companymatched 401(k))
- Globally we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical dental and vision insurance plan that best fits their lives. In addition to great healthcare coverage we also offer all employees mental health resources and additional wellness programs.
- Generous time off and leave allowances
- And more!
Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race color religion sex (including pregnancy and gender identity) national origin political affiliation sexual orientation marital status disability genetic information age membership in an employee organization parental status military service or other nonmerit factor.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
