Lead Data Engineer with AWS OpenSearch IRC288563

Description

Hiring for Data Engineering Lead with AWS OpenSearch

We are seeking an experienced and highly skilled Data Engineering Lead to drive the design, development, and optimization of robust, scalable, and secure data pipelines and platforms. The ideal candidate will have deep expertise in data architecture, modern data processing frameworks, cloud-native technologies, and a passion for enabling data-driven decision-making across the enterprise.
As a Data Engineering Lead, you will play a critical role in shaping the organization’s data strategy, leading high-performance engineering teams, and delivering data infrastructure that powers analytics, AI/ML, and business intelligence initiatives. This role demands strong technical acumen, leadership skills, and cross-functional collaboration. 

Requirements

Need to know AWS OpenSearch.

Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
12+ years of experience in data engineering or software engineering with a strong data focus.
Proven expertise in designing and building distributed data platforms and processing frameworks at scale.
Strong programming skills in Python, Java, or Scala and expertise in SQL.
Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, Presto, or Hive.
Deep knowledge of data modeling, data warehousing (e.g., Snowflake, Redshift, BigQuery), and cloud-native databases.
Experience working with cloud platforms (AWS, GCP, Azure) and managed data services (e.g., AWS Glue, Databricks, Dataflow).
Experience with orchestration and workflow tools like Apache Airflow, Luigi, or Prefect.
Strong understanding of data governance, lineage, cataloging, and security practices.
Ability to lead cross-functional technical teams, conduct code reviews, and define coding standards and practices.
Excellent communication, analytical, and problem-solving skills.

Job responsibilities

Responsibilities:
Lead the data engineering team, owning the development and maintenance of data pipelines, data lakes, and data warehouses across structured and unstructured data sources.
Architect and implement scalable, fault-tolerant, and secure data platforms in cloud environments (AWS, Azure, or GCP).
Design and optimize ETL/ELT processes using modern tools and technologies (e.g., Apache Spark, Apache Airflow, dbt, Kafka, Glue).
Build and maintain real-time and batch data processing systems, ensuring data quality, accuracy, and lineage.
Partner with data scientists, analysts, and business teams to enable data democratization and self-service analytics.
Implement data governance, security, compliance (GDPR, HIPAA, etc.), and metadata management frameworks.
Ensure platform performance, scalability, and cost-efficiency through infrastructure optimization and capacity planning.
Lead technical design reviews, provide architectural guidance, and mentor data engineers on best practices and emerging technologies.
Drive innovation by evaluating and adopting new data tools, cloud services, and architectural patterns.
Collaborate with DevOps, Product, and Security teams to establish CI/CD pipelines, data access controls, and incident response strategies.
Document architecture, data flows, and processes to support knowledge sharing, onboarding, and auditing.
Track key data engineering KPIs such as pipeline latency, data freshness, system availability, and throughput.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.