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Data Consultant
We’re looking for a Data Consultant with deep experience in the U.S. market, native English-speaking capabilities, and strong technical skills across modern data stacks. You’ve built complex data solutions for American companies, understand how to navigate compliance and operational challenges, and know how to design systems that scale. You’ve worked closely with analysts, data scientists, and executives to solve real-world problems. You’ve modernized legacy systems, cleaned up messy pipelines, and built platforms that last. You’ve led projects, mentored engineers, and shared your expertise with global peers. You’re a lifelong learner who stays ahead in the fast-moving world of data.
What We’re Looking For
A candidate with:
12+ years of hands-on experience in data engineering, platform architecture, and software development
A track record of delivering for U.S.-based companies across industries like finance, education, SaaS, and digital marketing
Demonstrated project leadership, including driving strategy, delivery, and stakeholder alignment
Proven ability to mentor junior engineers and influence technical direction across teams
Experience presenting at international conferences, sharing insights and best practices with a global audience
Native-level English fluency
We’re looking for strong, hands-on expertise in:
Cloud platforms: extensive knowledge of Azure, AWS, and GCP
Databricks, Spark/Scala, and Delta Lake
Snowflake – design, optimization, and performance tuning
MS, Postgre, My, and general performance tuning
Kafka and event-driven architectures
Python, Shell/Bash, Java, and scripting for orchestration and ETL
What You’ll Do
Design systems that support real-time processing, streaming ingestion, and high-throughput batch jobs
Drive legacy-to-modern data transformations, working across on-prem, hybrid, and cloud-native environments
Serve as a technical leader and strategic advisor, helping clients align data architecture with business goals
Ensure the integrity, usability, and performance of all data systems, now and into the future
This is a highly specialized role, designed for someone who knows what it takes to support large enterprise businesses with big data needs and high expectations.