Data Engineer Technical Lead

About AllCloud

AllCloud is a global professional services company providing organizations with the tools for cloud enablement and transformation. As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner, and Snowflake Premier Partner, AllCloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology and data and analytics.

Job Summary

AllCloud is seeking an experienced and visionary Data Engineer Technical Lead to guide and expand our Romanian Delivery Center talented team of data experts. This is a "player-coach" role for a senior data engineer who is passionate about both building world-class data solutions and mentoring a high-performing team. You will spend 60-80% of your time on billable client projects, leading the charge on designing and implementing complex data architectures.

The ideal candidate is a strategic thinker with deep expertise in the AWS data ecosystem and a strong background in applying AI/ML concepts to data pipelines. You will be responsible for the technical direction and successful delivery of our client projects, from cloud migrations to the development of sophisticated AI-driven data platforms. You will lead your team by example, establishing best practices, driving innovation, and playing a pivotal role in scaling our data practice to meet the next wave of client challenges.

Summary of Key Responsibilities

Team Leadership & Strategy (20-40%)

• Lead, mentor, and grow a team of data engineers, fostering a culture of technical excellence, continuous learning, and collaboration.
• Provide technical oversight and architectural guidance across all data engineering projects, ensuring solutions are robust, scalable, and secure.
• Act as the primary technical point of contact for key client engagements, translating complex business requirements into actionable technical roadmaps.
• Drive the strategic direction of the team's technical capabilities, particularly in areas of big data, streaming analytics, and MLOps.
• Contribute to pre-sales activities, including solution design, project scoping, and effort estimation for new client proposals.

Hands-On Technical Delivery (60-80%)

• Architect and implement end-to-end, cloud-native data solutions on AWS, leveraging services like Glue, EMR, Redshift, Kinesis, and SageMaker.
• Design, build, and optimize scalable 'big data' pipelines and data lakes that process diverse data types, from near real-time events to large unstructured files (images, documents, etc.).
• Lead the integration of AI/ML models into production data pipelines, working closely with data scientists to productionize algorithms and establish MLOps frameworks.
• Serve as the senior subject matter expert for clients and internal teams on database optimization (SQL/NoSQL), data governance, security, and cloud data architecture.
• Work hands-on with a wide variety of data sources and technologies, including Spark, Kafka, Elasticsearch, Python/Scala, and advanced SQL to solve challenging data problems.

Requirements

• 7+ years of experience in data engineering, with at least 2 years in a formal or informal technical leadership or mentorship capacity.
• A Bachelor's or Graduate degree in Computer Science, Mathematics, or a related quantitative field.
• Expert-level proficiency with AWS data services (e.g., S3, Glue, EMR, Redshift, Athena, Kinesis, RDS, DynamoDB). AWS certification is a strong plus.
• Proven experience architecting and building production-grade data pipelines and data sets using big data technologies such as Spark, Kafka, or similar.
• Demonstrable experience implementing or supporting data solutions for AI/ML workloads (e.g., feature engineering pipelines, model deployment, MLOps).
• Deep knowledge of relational SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, Cassandra).
• Strong programming skills in Python, Java, or Scala.
• Extensive experience in a client-facing or consulting role, with exceptional communication and presentation skills.
• A natural leader, passionate about developing the skills and careers of team members.
• Fluency in English is essential.