Sr. Consultant I Managed Services - AWS Data Engineering

ABOUT HAKKODA 

Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being  an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!.

Role Description

As an AWS Lead Data Engineer, you will play a critical leadership role within the Managed Services team, focusing on building, optimizing, and supporting a complex Data Lake architecture. This position requires strong experience in AWS services, team leadership, and customer collaboration. You’ll design scalable, secure, and efficient solutions while mentoring your team to deliver outstanding results for our clients. You will work closely with clients to understand their requirements, provide thought leadership in AWS architecture, and guide your team in implementing best practices. This role also involves designing and maintaining data pipelines, monitoring and improving performance, and ensuring system reliability. We value open communication, collaboration, and a passion for learning. As a Lead, you will foster a positive and productive environment while driving technical excellence.

• Design and develop complex Data Lake architectures on AWS, leveraging modern design patterns and frameworks.
• Build, manage, and optimize ETL/ELT pipelines for large-scale data platforms using tools like AWS Glue, EMR, and AWS Batch Service.
• Lead the implementation of AWS Lambda functions for automation and event-driven processes.
• Implement and optimize solutions using IoT TimeStream Database for time-series data and DynamoDB for NoSQL workloads.
• Guide the team in leveraging SageMaker for machine learning model development and deployment.
• Develop robust IAM policies to ensure security, compliance, and proper access controls across all environments.
• Provide thought leadership in using AWS services, tools, and best practices to improve system performance and reliability.
• Mentor and coach team members, fostering professional growth and knowledge sharing.
• Collaborate with internal and client teams to identify problems, prevent incidents, and deliver solutions that meet business goals.
• Monitor the production environment holistically, ensuring system health, reliability, and performance.
• Manage and prioritize multiple client engagements, including incident resolution, enhancements, and infrastructure optimization.

• 4+ years of experience in technical roles, including 1+ year in a leadership or management role.
• Proven experience designing, building, and maintaining complex Data Lakes on AWS for large-scale distributed systems.
• Strong understanding of AWS architecture and services, including but not limited to:AWS Glue, EMR, AWS Batch, Lambda, SageMaker, IoT TimeStream, DynamoDB.
• Demonstrated experience in leading and mentoring technical teams.

• Advanced expertise in SQL, including performance tuning and query optimization.
• Proficiency in Python for automation, scripting, and data processing.
• Strong experience with ETL/ELT pipelines and data warehouse solutions (e.g., Teradata, Netezza, Oracle Exadata, Snowflake, SQL Server).
• Familiarity with data visualization tools like Power BI, Tableau, or Looker.
• Working knowledge of business intelligence/data analytics.
• Cloud expertise with a focus on AWS; experience with Snowflake or other cloud platforms (Azure, GCP) is a plus.

• Experience hiring, developing, and managing technical teams, fostering a collaborative and innovative culture.
• Strong organizational and project management skills, including working in Agile environments.
• A proactive, solutions-oriented mindset, with the ability to identify and address performance bottlenecks.
• Excellent communication skills, with the ability to engage technical and non-technical stakeholders.
• Advanced English proficiency (written and spoken).

• Bachelor’s degree in Data Analytics, Computer Science, Management Information Systems, Mathematics, or a related technical field.

Why Join Hakkoda?

At Hakkoda, we celebrate innovation, collaboration, and growth. You’ll be part of a talented team of data professionals committed to delivering cutting-edge solutions for our clients. We offer a fun, fast-paced work environment where everyone’s contributions are valued, and professional growth is encouraged.

Our Benefits:

- Comprehensive Life Insurance: Including dental and vision, wellness, home spa treatments, express doctor visits etc.

- Paid Parental Leave

- Flexible PTO Options

- Company Bonus Program

- Asociación Solidarista

- Technical Training & Certifications

- Extensive Learning and Development Opportunities

- Flexible Work-from-Home Policy

- Work from Anywhere Benefit

Ready to take your career to the next level? 🚀 💻 Apply today👇 and join a team that’s shaping the future!!