About the Role
We are looking for a highly skilled Senior Data Engineer to lead the design, development, and optimization of enterprise scale data pipelines and architectures. In this role, you will build and maintain robust ETL processes, ensure high data availability, and support advanced analytics and business intelligence needs.
You will collaborate closely with data scientists, analysts, product managers, engineering managers, TPMs, and architects to translate complex business requirements into scalable technical solutions. As a senior member of the team, you will also guide junior engineers, drive technical innovation, and influence enterprise data strategy.

Required Skills & Qualifications
Education
•    Bachelor’s degree in Computer Science or 8–10 years of professional experience in relevant programming languages.
Experience
•    8–10 years of experience in: 
o    Data engineering or related fields
o    Programming languages relevant to data processing (e.g., Python, Java, Scala, SQL)
o    Building scalable ETL pipelines and data architectures
o    Working with cloud environments and modern data platforms
o    Leading junior team members or acting as a technical lead
Technical Competencies
•    Expert Level
o    Integration of systems and technologies
o    Cloud computing architecture
o    Data architecture
•    Proficient Level
o    Backend architecture
o    IT standards, procedures, and policies
o    PTC (Platform Technology Committee) processes
o    DevOps practices and tools
o    Event-Driven Architecture (EDA)
o    Results interpretation
o    Communication, collaboration, negotiation, and organizational skills
o    Problem solving, decision making, and critical thinking
•    Competent Level
o    Information security architecture
o    Enterprise IT architecture

Soft Skills
•    Strong communication skills with the ability to explain complex concepts clearly
•    Effective collaboration with technical and non technical stakeholders
•    High analytical and problem solving capabilities
•    Strong organizational and time management skills
•    Ability to mentor, guide, and inspire junior engineers
•    Strategic thinking with a continuous improvement mindset
•    Confidence in decision making and ownership of technical solutions
•    English - Excellent verbal and written communication

Preferred / Nice-to-Have Qualifications
•    Experience with modern data lakehouse platforms (Databricks, Snowflake, BigQuery, etc.)
•    Expertise in orchestration tools (Airflow, dbt, Dagster)
•    Familiarity with real-time data processing (Kafka, Kinesis)
•    Experience with CI/CD pipelines and infrastructure-as-code
•    Industry certifications in cloud architecture, data engineering, or security
•    Experience in enterprise-scale, multi region data

Soft Skills

•    Strong leadership and team mentorship
•    English - Excellent verbal and written communication
•    Strategic thinking and long-term planning
•    Ability to manage competing priorities
•    Stakeholder influence and negotiation skills
•    High adaptability and continuous learning mindset