Head of Data Engineering

Exadel is seeking a visionary and hands-on Head of Data Engineering to lead, build, and scale our global Data Engineering capability as a core pillar of our Data, Analytics, and AI consulting strategy. This role is responsible for defining the technical vision, solution architecture, delivery frameworks, and reusable engineering assets that underpin high-value data transformation for Exadel and its clients.

The successful candidate will combine deep technical expertise, people leadership, innovation mindset, and commercial acumen to create a world-class data engineering practice that accelerates our market impact and revenue growth.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

Leadership & Capability Build

• Define and execute the Data Engineering strategy and operating model to support client delivery, internal innovation, and business growth
• Build, lead, and mentor a high-performing global team of Data Engineers, DevOps Engineers, Cloud Engineers, and Solution Engineers (team size: 3–8 initially)
• Foster a culture of technical excellence, agility, collaboration, and continuous learning

Technical Strategy, Architecture & Delivery

• Lead the design and delivery of enterprise-scale, cloud-native data engineering solutions covering:
• Data Ingestion (batch, streaming, real-time)
• Data Transformation (ETL/ELT, orchestration, compute frameworks)
• Data Storage (Data Lakes, Lakehouse, Warehouses, NoSQL)
• Data Consumption (APIs, BI tools, AI/ML platforms)
• Drive the adoption of modern data engineering patterns such as Data Mesh, DataOps, Event-Driven Architectures, Serverless Data Pipelines
• Collaborate with Data Architects, Governance Leads, AI Teams, and Business Consultants to ensure data solutions meet performance, security, and business outcome needs

Engineering Standards, Tools & Automation

• Define and embed engineering best practices, coding standards, CI/CD, DevOps, and DataOps across all projects
• Own the selection, implementation, and evolution of engineering tools, frameworks, and platforms such as:
• Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion
• Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi)
• Drive innovation in automation, monitoring, testing, and pipeline reliability to ensure industrial-grade data solutions

Client Delivery & Commercial Impact

• Lead complex, high-profile data engineering solutioning and delivery for Exadel’s clients—ensuring excellence in execution, scalability, and measurable business value
• Shape revenue-generating offerings, accelerators, and reusable components to improve delivery efficiency and margin
• Support pre-sales, client engagements, proposal writing, and thought leadership in the market

What You Bring

• 12+ years of experience in Data Engineering, Big Data, or Cloud Data Solution Delivery, with at least 5+ years in technical leadership or head-of-role capacity
• Proven track record in:
  • Building and leading data engineering teams in a fast-paced, consulting or enterprise environment
  • Delivering large-scale data platforms, pipelines, and transformation projects across industries

• Deep technical expertise in:

  • Data ingestion frameworks (Kafka, Event Hubs, Pub/Sub, IoT)
  • ETL/ELT frameworks and tools (dbt, Spark, PySpark, Azure Data Factory, Glue)
  • Data storage technologies (Delta Lake, Snowflake, Synapse, Redshift, BigQuery)
• Programming languages: Python, SQL, Scala or Java
• Strong understanding of data modelling (conceptual, logical, physical, dimensional) and data integration patterns (S2T mapping, near real-time processing, batch processing
• Experience in DevOps, CI/CD for data, MLOps, and cloud-native solution design
• Proven ability to work with enterprise architects, data scientists, and business leaders to ensure end-to-end solution success
• Excellent communication and stakeholder management skills, with the ability to influence C-level clients and technical teams alike
• Visionary technology leader with the ability to execute at pace
• Passionate about engineering excellence, innovation, and building scalable solutions
• Commercially minded with a strong focus on revenue growth, margin protection, and client satisfaction
• Collaborative, adaptable, and committed to team development and mentorship

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs