Senior Data Lead/Data Lead

Experience:

Minimum 10 years of experience in data engineering or related roles with at least 2 years in a leadership or engineering management capacity.

Key Responsibilities

• Lead and mentor a team of data engineers fostering growth collaboration and technical excellence across project delivery.

• Architect design and implement scalable data pipelines and processing systems using modern cloud services (AWS GCP Azure).

• Establish and enforce data engineering best practices standards and governance frameworks.

• Collaborate with business stakeholders to understand data needs and deliver actionable scalable solutions.

• Drive the technical vision and roadmap for data infrastructure and platforms.

• Optimize data workflows for performance reliability and cost efficiency.

• Provide technical leadership in data modeling and ETL/ELT design.

• Conduct code reviews ensuring scalable and maintainable solutions.

• Support teams and stakeholders with data-related problem-solving.

• Communicate technical concepts effectively to technical and non-technical audiences.

• Design and lead discovery sessions with clients and internal teams for requirement gathering and architecture alignment.

• Automate and orchestrate complex data pipelines reducing manual effort.

• Develop and maintain high-quality documentation of architectures requirements and processes.

• Support pre-sales engagements including technical solutioning and proposal development.

• Create reusable frameworks and artifacts to accelerate delivery.

• Maintain relevant cloud certifications and contribute to thought leadership.

Qualifications :

Technical Skills & Competencies

Programming & Querying Expertise

• Proficiency in Python and SQL is essential with proven experience in developing scalable data solutions.

• Strong skills in writing clean testable and production-grade code for data transformation and orchestration.

• Experience with version control systems like Git and collaborative development practices.

• Familiarity with Scala or Java is a plus particularly for big data processing frameworks.

Data Lake & Data Warehouse Expertise

• Proven experience in designing and implementing enterprise-grade data lake solutions.

• Hands-on experience with Cloud Data Engineering (AWS/GCP) Databricks Delta Lake and lakehouse architectures.

• Strong understanding of data warehouse concepts including star and snowflake schemas.

• Expertise in query performance tuning data partitioning compression and storage optimization.

• Understanding of data governance access control and security frameworks.

• Familiarity with medallion architecture or equivalent multi-tier data processing frameworks.

• Experience with real-time data streaming technologies such as Apache Kafka or AWS Kinesis.

Leadership & Soft Skills

• 2 years of team leadership or engineering management experience.

• Demonstrated ability to mentor junior engineers and foster team capability growth.

• Excellent communication and collaboration skills across cross-functional teams.

• Strong problem-solving abilities business acumen and analytical thinking.

• Ability to manage multiple priorities in dynamic fast-paced environments.

• Customer-focused mindset with strong stakeholder engagement skills.

• Experience in Agile methodologies and leading sprint planning and retrospectives.

Data Engineering Core Principles

• Expertise in data pipeline architectures data integration patterns and orchestration tools.

• Experience with data validation testing frameworks and data quality management.

• Knowledge of data privacy compliance and security best practices.

• Experience in connecting data pipelines to visualization layers for real-time analytics.

• Understanding of semantic layer design and self-service data modeling.

• Experience in end-to-end orchestration of pipelines from source systems to reporting tools.

• Proficiency in data modeling techniques and database design principles.

Industry Knowledge & Certifications

• Relevant cloud certifications (e.g. AWS Certified Data Analytics or Google Cloud Professional Data Engineer).

• Understanding of industry-specific data regulations (e.g. GDPR CCPA HIPAA) as applicable.

• Knowledge of emerging trends in data engineering such as data mesh and data fabric architectures.

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 in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees

• Fully remote-first small but Global organization; learn wherever whenever frees our people from a rigid view of learning and growth

• Retirement planning (i.e. CPF EPF company-matched 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 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!

DIVERSITY AT OLLION 

One of our cultural keystones Find the angle recognizes that every individual has different aspirations needs and brings a unique perspective. 

We value diversity inclusion and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives experiences and ideas leading to innovation creativity and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds including but not limited to race ethnicity gender sexual orientation age disability and cultural heritage.  

As our commitment to diversity and inclusion is reflected in our: 

• Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue active listening and mutual respect creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas. 

• Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity we broaden our collective knowledge enhance problem-solving capabilities and unlock limitless potential for our employees.

All your information will be kept confidential according to EEO guidelines. 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 non-merit factor.

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 non-merit factor.

Remote Work :

Yes

Employment Type :

Full-time