Lead Data Engineer
Snowflake, Navajo County, Arizona, 85937, USA
Listed on 2025-12-02
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact.
With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success.
Be part of a team that’s not just building solutions, but shaping the future with intelligence.
8+ Years Job Type :
Full Time Roles and Responsibility :
We are looking for an experienced and strategic Lead Data Engineer to oversee the design, development, and implementation of our enterprise data platform. As a technical leader, you will work across engineering, analytics, and business teams to deliver scalable data solutions, while also guiding and mentoring a team of data engineers. This is a high-impact role ideal for someone who wants to combine deep technical expertise with leadership and vision.
- Architect and implement scalable, secure, and high-performance data pipelines and systems.
- Guide the selection and implementation of modern data stack tools (e.g., Snowflake, Databricks, Redshift, dbt).
- Lead the design of data models, schemas, and data governance frameworks.
- Define and enforce coding standards, best practices, and quality assurance processes.
- Mentor and coach a team of data engineers; support their technical and professional growth.
- Manage task allocation, sprint planning, and delivery for the data engineering team.
- Collaborate with data scientists, analysts, and business stakeholders to ensure data accessibility and usability.
- Lead technical discussions, solution design, and architecture reviews.
- Ensure data systems are reliable, monitored, and fault-tolerant.
- Oversee performance tuning, cost optimization, and scaling of data infrastructure.
- Implement CI/CD, data testing, and deployment pipelines for data code.
- Champion data privacy, security, and compliance initiatives (e.g., GDPR, HIPAA, SOC2).
Must-Have:
- 8+ years of experience in data engineering.
- Expertise in SQL, Python
, and distributed data frameworks (e.g.,
Apache Spark, Flink, Kafka
). - Strong experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools.
- Proven ability to design and implement scalable ETL/ELT pipelines.
- Solid understanding of data modeling, warehousing, lake house architecture, and governance.
- Experience managing or mentoring a technical team.
- Experience with tools such as Airflow, dbt, Terraform, or Kubernetes.
- Knowledge of real-time data processing and streaming platforms.
- Familiarity with business intelligence and data visualization tools.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Be part of building something from the ground up in a high-growth, high-impact domain
- Work alongside passionate experts in AI, data, and industry consulting
- Competitive base + uncapped commission structure tied directly to performance
- Remote-first flexibility with real ownership and career growth potential
- Employees are entitled to flexible working hours to support work-life balance.
- The company operates on a 5-day work week.
- A healthy, inclusive, and collaborative work environment is maintained.
- The company organizes Fun Fridays and festive celebrations to foster team spirit.
- Employees have access to opportunities for continuous learning and career growth.
- An annual company trip is organized for team building and relaxation.
- Comprehensive medical insurance benefits are provided to employees.
- Performance-based bonuses and annual salary revisions are offered.
- A hybrid working model is available, allowing a mix of in-office and remote work as per company policy.
Remi Martens Hospitality business
Excellent to work with in every way. Proactively identified solutions to the problem in the initial design and the recommended solutions. Work has top-notch. Results delivered on time. Communication was excellent.
Real pleasure consulting with Kenexai to set up our company's entire data warehouse and dashboards on AWS. I will definitely be reaching out to them for future work to be done. Our project was effective and 100% achieved what I planned to do in the beginning, in a shorter time frame and with less effort than I expected.
CCR Data perform complex data migrations, we needed and extra pair of hands to restore an Oracle database and transfer the data to a Microsoft SQL database ready for our migration analysts to do their stuff. Nitesh was able to make available at short notice one of their team who was able to see the project through from start to finish.
We would not hesitate in recommending or using Kenexai again and would be happy to outsource bigger…
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