Lead a team of engineers, providing technical leadership and mentorship

Design and implement data integration solutions, model databases, and build scalable data platforms

Work with classic Data technologies and tools (Databases, ETL/ELT, MDM tools, BI platforms) as well as implement modern Cloud or Hybrid data solutions

Contribute to Cloud Solution Architecture, select the right toolset, and serve as a role model for the team

Collaborate with product and engineering teams to define technical requirements, evaluate new features, and drive architectural decisions

Build partnerships with architects and key stakeholders within the organization

Perform detailed analysis of business problems and technical environments to design high-quality solutions

Participate in code reviews and testing to ensure adherence to best practices

Foster a high-performance engineering culture, oversee team members, and provide technical guidance

Write and maintain project documentation, including high-quality technical documentation and use cases

5+ years of experience in Data Management, Storage, Analytics, Migration, and Database Design

Proven ability to lead technical teams and mentor engineers

Expert knowledge of Cloud environments (AWS, Azure, GCP) and experience with multiple cloud providers

Deep expertise in cloud data warehousing solutions (Redshift, Azure Synapse Analytics, Google BigQuery, Snowflake, etc.)

Experience designing and implementing Data Integration, Data Analytics & Visualization, and Cloud Migration solutions

Expertise in Data Integration tools (Azure Data Factory, AWS Glue, GCP Dataflow, Talend, Informatica, Apache NiFi, KNIME, SSIS, etc.)

Strong understanding of Relational Databases (MS SQL Server, Oracle, MySQL, PostgreSQL) and the ability to articulate the pros and cons of different solutions

Production coding experience in one of the data-oriented programming languages (SQL, Python, SparkSQL, PySpark, R, Bash, Scala)

Advanced knowledge of Data Security (Row-level security, auditing, etc.)

Experience with data modeling, including OLAP, OLTP, ETL, DWH, Data Lake, Delta Lake, and Data Mesh methodologies

Strong knowledge of integration patterns, CDC methods, micro-batching, and delta extracts

General understanding of Housekeeping processes (logging, monitoring, exception management, archiving, retention policies, hot/cold data)

Deep understanding of Data Lineage, Metadata Management, and Data Traceability concepts

Ability to create high-quality design documentation and maintain audit records

Compliance awareness (PI, GDPR, HIPAA)

Experience in direct customer communication and ability to present technical solutions effectively

Experience across various business domains

English proficiency for professional communication

Cloud Platforms (AWS, Azure, GCP): Storage, Compute, Networking, Identity & Security, Data Warehousing (Redshift, Snowflake, BigQuery, Azure Synapse)

Data Integration Tools (Azure Data Factory, AWS Glue, GCP Dataflow, Talend, Informatica, Apache NiFi, KNIME, SSIS, etc.)

Programming Languages: SQL, Python, SparkSQL, PySpark, R, Bash, Scala

Relational Databases (MS SQL Server, Oracle, MySQL, PostgreSQL)

Dataflow orchestration, replication, and data preparation tools

Version Control Systems (Git, SVN)

Testing: Component, Integration Testing, and Data Reconciliation