Senior Data Engineering Architect Job at Lingaro

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Cloud Solution Architect and Senior Cloud Solution Architect - Data and AI

We are looking for Cloud Solution Architect (CSA) and Senior Cloud Solution Arch...

Location

United States , Multiple Locations

Salary:

85100.00 - 169800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Authorization to work in the United States that does not now or in the future require employer sponsorship
1+ years of experience with AI/ML and/or Generative AI technology
2+ years of customer facing experience providing recommendations to, or collaborating with, mid-to-senior level executives to address and advance technology transformation initiatives, entablements, and outcomes, including Data and AI solutions
2+ years of enterprise experience in ANY of the following: Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB

Job Responsibility

Seek to understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise
Deliver according to MS best practices & using repeatable Intellectual Property (IP)
Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate
Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements
Maintain technical skills and knowledge, keep up to date with market trends and competitive insights
collaborate and share with the AI technical community while educating customers on Azure platform
Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications

Fulltime

Senior Data Architect

We have an exciting opportunity for a Data Architect to join our growing Data an...

Location

United Kingdom , Glasgow or Newbury / Reading, Berkshire

Salary:

Not provided

FSP

Expiration Date

Until further notice

Requirements

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes
Proven expertise designing cloud-native data platforms across Azure, GCP or AWS
Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling)
Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles is beneficial
Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc
Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption
Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design
Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value
Experience with infrastructure as code, especially Terraform, to ensure architectural consistency and deployment scalability
Able to inspire, guide and elevate cross-functional engineering teams

Job Responsibility

Define, own and evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives
Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models
Establish governance standards, frameworks and principles that guide engineering teams
Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence
Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality
Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities
Proactively share insights and drive innovation across the wider engineering team

Fulltime

Senior Data Engineering Manager

We’re scaling fast and need a hands-on Data Engineering Manager to join our dyna...

Location

India

Salary:

Not provided

YipitData

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline
8+ years in data engineering (or adjacent), including 2-3+ years formally managing 1-3 engineers
Proven hands-on experience with: Big Data ecosystems (Spark, Hive, Hadoop)
Databricks (including Delta Lake, MLFlow, Unity Catalog)
Robust programming experience in Python and PySpark
Deep understanding of data modeling, ETL/ELT processes using Streaming, and performance tuning
Experience managing Agile teams and delivering complex projects on time
Excellent problem-solving, leadership, and communication skills
Experience designing and implementing Agentic Models with Data Pipelines (Data Cleaning and creative Feature Engineering)
Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design

Job Responsibility

Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems
Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
Hire, onboard, and develop a high-performing team—1-on-1s, growth plans, and performance reviews
Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products
Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring
Ensure high data quality, governance, and compliance with internal and external policies
Optimize performance and cost efficiency of data infrastructure in the cloud
Architect and evolve our data platform (batch & streaming) for scale, cost, and reliability
Own the end-to-end vision and strategic roadmap for various projects
Create documentation, architecture diagrams, and other training materials

Fulltime

Data Engineering Architect

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

11+ years of professional experience in the Data & Analytics area
5+ years of experience in the Senior Consultant role with a strong focus on Azure data solutions
Advanced knowledge and understanding of architecture, application design, systems engineering, and integration
Very good knowledge of cloud data services, data warehousing, big data technologies, and data lakes
Expertise in data modeling, data integration, and ETL processes
Proven experience in using of Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS)
Programming skills for data analysis (especially PySpark, SparkSQL, Python, SQL)
Familiarity with data governance, data security, and compliance standards
Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines
Ability to use ARM templates

Job Responsibility

Acting as a Senior Consultant/Solution Advisor
Technology partner: Advise on designing data architectures in Microsoft Azure
Empowering customer to spot and leverage business opportunities by unlocking the power of data
Providing technical and problem-solving expertise for client representatives and Lingaro project teams
Data Integration: Lead data integration efforts, including ETL processes, to ensure seamless data flow
Cloud Services Utilization: Leverage Azure, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Advise on security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Data Governance: Advise data governance and quality standards
Collaboration: Work with cross-functional teams to understand requirements and provide data solutions

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

Senior Data Architect

The Senior Data Architect role requires over 10 years of experience in enterpris...

Location

United States , New York

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum 10+ years of enterprise-level experience in data architecture, data modeling, data transformation, data storage, data archival, and performance engineering
Advanced hands-on experience with Informatica or Talend for ETL/ELT development (minimum 5+ years)
Strong expertise with relational and cloud data platforms such as PostgreSQL, Oracle, and Snowflake (minimum 7+ years combined)
Extensive experience writing and tuning Advanced SQL for large-scale datasets (minimum 8+ years)
5+ years of experience creating and optimizing Power BI dashboards, semantic models, and DAX expressions
Strong proficiency in Unix Shell Scripting for automation and data workflows (minimum 5+ years)
Deep understanding of enterprise data governance, data quality, metadata management, and lineage tracking
Excellent communication, documentation, and analytical skills required to support large banking/financial organizations
Bachelor’s in Computer Science, Information Systems, Engineering, or equivalent work experience

Job Responsibility

Lead the design and implementation of enterprise‑level data architecture for large-scale banking and financial systems
Develop comprehensive data models (conceptual, logical, physical) to support transactional, operational, and analytical workloads
Architect and optimize data transformation, data integration, and ETL/ELT pipelines using Informatica or Talend
Design scalable data storage, archival, retention, and retrieval solutions across PostgreSQL, Oracle, and Snowflake
Perform data performance engineering, including SQL optimization, indexing, and partitioning for high-volume systems
Create, refine, and validate complex SQL queries, scripts, and stored procedures supporting business analytics and reporting
Build and support enterprise dashboards by enabling Power BI semantic models and performance tuning
Develop and automate Unix Shell Scripts for data ingestion, scheduling, and workflow orchestration
Collaborate with cross-functional teams to support business, regulatory, risk, fraud, and compliance reporting needs
Maintain and enhance data quality, metadata, lineage, and governance standards across enterprise platforms

Senior Data Architect

Experienced Data Architect to design, develop, and implement comprehensive enter...

Location

India , Noida; Chennai; Bangalore

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

11+ years of experience in data engineering/management roles
3+ years in enterprise-level data architecture and data governance
Proven experience of defining the global architecture of the Single Source of Truth and its three components (Access, Knowledge, Trust)
Design and document data models and architecture frameworks aligned with group standards
Integrate real-time and streaming (event-driven architecture) capabilities into the overall design
Proven experience implementing solutions using Snowflake (Preferable) and Databricks
Strong background in Data Governance, Data Quality, and Master data Management (MDM)
BE / B.Tech/ MS/ M.Tech/ MCA qualification

Job Responsibility

Design, develop, and implement enterprise-wide data architecture, models, and integration frameworks
Establish and enforce data governance standards, policies, and best practices
Design, build and optimize data platforms using Snowflake (preferable) and/or Databricks
Oversee and guide complex data transformation for large and diverse datasets, ensuring Data integrity, quality, and performance
Drive the creation and maintenance of advanced data models, to support both analytical and operational needs
Ensure consistency and reusability of models across business domains and systems
Implement MDM, Lineage tracking, and Data cataloguing
Guarantee consistency between technical design and trust framework (quality, compliance, security)
Collaborate with business stakeholders to align data strategy with organizational objectives, document use cases, and design processes, ensuring alignment with technical implementation
Provide guidance to engineering teams for solution design and implementation

Fulltime

Senior Data Architect

We are seeking a highly experienced Senior Data Architect with 12+ years of expe...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of experience in Data Engineering and Data Architecture
Proven experience working as a Data Architect on large-scale AWS platforms
Strong experience designing enterprise data lakes and data warehouses
Hands-on experience with batch data processing and orchestration frameworks
Excellent communication and stakeholder management skills
Ability to work onsite in Dubai, UAE
AWS Glue (ETL, Data Catalog)
Amazon EMR (Batch Processing)
AWS Lambda (Serverless Data Processing)
Amazon MWAA (Apache Airflow)

Job Responsibility

Design and own end-to-end AWS data architecture for enterprise platforms
Define data architecture standards, best practices, and reference models
Architect batch and event-driven data pipelines using AWS native services
Lead data ingestion, transformation, and orchestration workflows
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
Design NoSQL data solutions using Amazon DynamoDB
Implement data governance, metadata management, and access control using AWS DataZone
Ensure monitoring, logging, and observability using Amazon CloudWatch
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions

Fulltime

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Senior Data Engineering Architect

Job Responsibility

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