Data Engineering Architect Jobs

Lingaro

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Data engineering involves the development of solutions for the collection, transformation, storage and management of data to support data-driven decision making and enable efficient data analysis by end users. It focuses on the technical aspects of data processing, integration, and delivery to ensure that data is accurate, reliable, and accessible in a timely manner. It also focuses on the scalability, cost-effectiveness, security, and supportability of the solution. Data engineering encompasses multiple toolsets and architectural concepts across on-premises and cloud stacks, including but not limited to data warehousing, data lakes, lake house, data mesh, and includes extraction, ingestion, and synchronization of structured and unstructured data across the data ecosystem. It also includes processing organization and orchestration, as well as performance optimization of data processing.

Job Responsibility:

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications
Stay updated with emerging trends and technologies in data engineering, recommending and implementing innovative solutions as appropriate
Conduct performance analysis and optimization of data engineering systems, identifying and resolving bottlenecks and inefficiencies
Ensure data quality and integrity throughout the data engineering processes, implementing appropriate validation and monitoring mechanisms
Collaborate with cross-functional teams to integrate data engineering solutions with other systems and applications
Participate in project planning and estimation, providing technical insights and recommendations
Document data architecture, infrastructure, and design decisions, ensuring clear and up-to-date documentation for implementation, reference and knowledge sharing

Requirements:

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations
Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders
Experience in leading and mentoring data engineering teams, providing guidance and technical expertise
Familiarity with agile methodologies and experience in working in agile development environments
Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies
Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Strong understanding of distributed computing principles, including parallel processing, data partitioning, and fault-tolerance

Nice to have:

Bachelor’s degree in computer science, Information Technology, or a related field
A master’s degree may be preferred
Having multi cloud experience (Azure, GCP & AWS)

What we offer:

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company
A diverse, inclusive, and values-driven community
Autonomy to choose the way you work
Create our community together
Activities to support your well-being and health
Plenty of opportunities to donate to charities and support the environment
Modern office equipment

Additional Information:

Job Posted:
December 10, 2025

Work Type:

Remote work

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Data Engineering Architect