Senior/Lead Data Engineer at Exadel Inc (Website)

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Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Data Delivery, Technical Leadership, Data Ingestion, ETL/ELT, Data Storage, Programming, Data Modelling, Integration Patterns, DevOps, CI/CD, DataOps, Apache Spark, Snowflake, BigQuery, Kafka

Industry

Software Development

Description

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 Contribution Contribute to the execution of the Data Engineering strategy and operating model, supporting client delivery, innovation, and engineering best practices Lead and mentor a small, high-performing team of Data Engineers, DevOps Engineers, and Cloud Engineers (team size: ~3–8) within projects or a functional group Foster a culture of technical excellence, collaboration, and continuous improvement within engineering teams Technical Strategy, Architecture & Delivery Lead the hands-on design and delivery of enterprise-scale, cloud-native data engineering solutions across: 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) Advocate for and implement modern data engineering patterns such as Data Mesh principles, DataOps, Event-Driven Architectures, and Serverless Pipelines Collaborate closely with Architects, Data Governance, AI/ML, and Consulting teams to ensure solutions are aligned with security, performance, and business goals Engineering Standards, Tools & Automation Drive the adoption of engineering best practices in coding, DevOps, CI/CD, and DataOps across project teams Support the evaluation and application of modern tools and frameworks, including: Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi) Champion the use of automation, monitoring, and testing frameworks to improve reliability and performance of data pipelines Client Delivery & Project Leadership Lead complex data engineering delivery within client engagements, ensuring technical excellence, scalability, and value realization Contribute to the development of reusable assets and accelerators that enhance delivery efficiency and technical consistency Support pre-sales and client discussions with technical expertise, helping shape solution designs and articulate value to stakeholders What You Bring 8+ years of experience in Data Engineering, Big Data, or Cloud Data delivery, with 2–4+ years in technical leadership or team lead roles Proven track record in: Delivering enterprise-scale data platforms, pipelines, and transformations Leading small teams or squads within consulting or enterprise project settings Strong technical skills in: Data ingestion frameworks (e.g., Kafka, Event Hubs, Pub/Sub) ETL/ELT tools (e.g., dbt, Spark, ADF, Glue) Data storage platforms (e.g., Delta Lake, Snowflake, BigQuery, Synapse) Programming: Python, SQL, and optionally Scala or Java Good understanding of: Data modelling (dimensional, logical, physical) Integration patterns (e.g., S2T mapping, batch, near real-time) DevOps and CI/CD practices for data pipelines Experience collaborating with architects, data scientists, and product owners to deliver end-to-end solutions Key Personal Attributes Hands-on technical leader with a focus on delivery excellence Passionate about engineering innovation and scalable solution design Strong communicator and collaborator, able to engage both technical teams and business stakeholders Committed to mentoring peers, sharing knowledge, and continuously improving delivery capability 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 Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Responsibilities

Lead and mentor a small team of Data Engineers, DevOps Engineers, and Cloud Engineers while contributing to the execution of the Data Engineering strategy. Design and deliver enterprise-scale, cloud-native data engineering solutions, ensuring technical excellence and scalability.