CrawlJobs Logo
Sopra Steria Logo Sopra Steria · IT - Software Development

Senior Data Architect

India, Noida · Job Posted November 21, 2025
Apply Position
Job Link Share

Job Description

Experienced Data Architect to design, develop, and implement comprehensive enterprise data architecture that enables scalability, governance, and innovation. The role requires deep expertise in modern data platforms such as Snowflake, along with strong Data Management and Governance practices. The Data Architect will be responsible for aligning business goals with technology, ensuring data quality, and enabling advanced analytics and AI/ML use cases across the enterprise.

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
  • Collaborate with Data Governance teams to ensure alignment between architecture and governance policies
  • Act as an advisor to Data Architects, Data Governance Officers, Data Product Owners and Managers
  • Promote best practices and architectural patterns across organization
  • Contribute to the organization's strategic Data & AI roadmap

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
Sopra Steria - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Architect

8 matching positions

Senior Data Architect

We are seeking a highly experienced Senior Data Architect with 12+ years of expe...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Senior Data Engineering Architect

Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
  • 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
  • Proficiency in Python, PySpark, SQL
  • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and 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
Job Responsibility
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
What we offer
What we offer
  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
  • Workation. Enjoy working from inspiring locations in line with our workation policy
  • Great Place to Work® certified employer
  • 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. Lingarians earn 500+ technology certificates yearly
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
  • Grow as we grow as a company. 76% of our managers are internal promotions
Read More
Arrow Right

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...
Location
Location
United States , Irving
Salary
Salary:
Not provided
hireitpeople.com Logo
Hire IT People, Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
  • Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
  • Strong experience creating design documentation, and knowledge-based artifacts
  • Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
  • Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
  • Prior expertise from the Center of Excellence for Data, AI and ML
  • Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience
Job Responsibility
Job Responsibility
  • Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
  • Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
  • Implementing data engineering activities using platforms like Databricks and Snowflake
  • Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
  • Apply Machine Learning strategies and models for a better Model deployment and pipelines
  • Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
  • Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
  • Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
  • Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
  • Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Senior Data Steward

The Senior Data Steward is responsible for ensuring the quality, integrity, and ...
Location
Location
Philippines , Makati City
Salary
Salary:
Not provided
avaloq.com Logo
Avaloq
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field
  • Must have at least eight years of extensive experience in data governance, data quality, or data management roles
  • Proven track record of working with DPOs or privacy compliance teams
  • Expertise in data governance frameworks (DAMA-DMBOK, DCAM)
  • Strong knowledge of data privacy regulations and security best practices
  • Proficiency in SQL, data profiling tools, and cloud platforms
  • Excellent communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • Define and enforce enterprise-wide data governance policies and standards
  • Collaborate with DPOs to ensure compliance with global and local data privacy regulations (e.g., GDPR, CCPA, EU laws)
  • Utilize Microsoft Purview to implement governance, classification, and compliance controls
  • Lead initiatives to monitor, improve, and maintain data accuracy, completeness, and consistency
  • Establish KPIs and dashboards for governance and compliance performance
  • Implement privacy-by-design principles in data processes
  • Ensure proper handling of sensitive data, including encryption, anonymization, and retention policies
  • Maintain data dictionaries, glossaries, and metadata repositories
  • Document data lineage and ownership for critical data elements
  • Partner with data architects, engineers, and business stakeholders to align data definitions and usage
What we offer
What we offer
  • Annual bonus
  • Flexible working
  • Instant recognition
  • Access to Udemy for professional and personal learning
  • Fulltime
Read More
Arrow Right

Senior Data Steward

The Senior Data Steward is responsible for ensuring the quality, integrity, and ...
Location
Location
India , Pune
Salary
Salary:
Not provided
avaloq.com Logo
Avaloq
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field
  • Must have at least four years of extensive experience in data governance, data quality, or data management roles
  • Proven track record of working with DPOs or privacy compliance teams
  • Hands-on experience with Microsoft Purview for governance and compliance
  • Expertise in data governance frameworks (DAMA-DMBOK, DCAM)
  • Strong knowledge of data privacy regulations and security best practices
  • Proficiency in SQL, data profiling tools, and cloud platforms
  • Excellent communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • Define and enforce enterprise-wide data governance policies and standards
  • Collaborate with DPOs to ensure compliance with global and local data privacy regulations (e.g., GDPR, CCPA, EU laws)
  • Utilize Microsoft Purview to implement governance, classification, and compliance controls
  • Lead initiatives to monitor, improve, and maintain data accuracy, completeness, and consistency
  • Establish KPIs and dashboards for governance and compliance performance
  • Implement privacy-by-design principles in data processes
  • Ensure proper handling of sensitive data, including encryption, anonymization, and retention policies
  • Maintain data dictionaries, glossaries, and metadata repositories
  • Document data lineage and ownership for critical data elements
  • Partner with data architects, engineers, and business stakeholders to align data definitions and usage
What we offer
What we offer
  • Annual bonus
  • Flexible working
  • Instant recognition scheme
  • Access to Udemy for professional and personal learning
  • Fulltime
Read More
Arrow Right

Senior Data Consultant

Ivy Partners is a Swiss consulting firm that assists companies in their strategi...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
ivy.partners Logo
IVY Partners
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Between 6 to 10 years of professional experience
  • strong understanding and experience in data architecture within diverse domains such as finance, purchasing, etc.
  • deep expertise in managing large datasets
  • proficient in tools like BPMN 2.0 (preferably using Draw.io or LucidChart)
  • skilled in building and interpreting conceptual and logical data models
  • effectively document architecture and business processes
  • strong ability to perform gap analysis on existing datasets versus group standards
  • develop and manage a detailed remediation plan
  • both english and portuguese are required
Job Responsibility
Job Responsibility
  • Collaborate with diverse stakeholder communities, including business experts, data engineers, data scientists, and technical architects, to leverage data analytics, AI, and Master Data Management
  • Structure data platforms optimally for various use cases, ensuring alignment with business needs and governance standards
  • Develop and standardize conceptual data models, and document business processes in BPMN format to support data consumption
  • Identify and define critical business processes and associated data stewards or process owners
  • Assess existing datasets against defined data architecture standards, propose remediation plans, and manage the redesign process to ensure dataset standardization and reusability
  • Ensure adherence to data governance frameworks, including data risk management policies, data classification, access policies, and retention protocols
  • Document all relevant details in data catalogs and governance tools like Collibra
What we offer
What we offer
  • nurturing environment where everyone is valued
  • training and opportunities for advancement both in Switzerland and internationally
  • climate of trust based on transparency, professionalism, and commitment
  • encouraging innovation
  • collective is at the heart of our actions
  • strive to generate a positive impact
Read More
Arrow Right

Senior Data Engineer

At Relatient, we’re on a mission to simplify access to care – intelligently. As ...
Location
Location
India , Pune
Salary
Salary:
Not provided
relatient.com Logo
Relatient
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree, B.E./ B. Tech, computer engineering, or equivalent work experience in lieu of a degree is required, Master’s degree preferred
  • 7+ years of experience in database engineering, data warehousing, or data architecture
  • Proven expertise with at least one major data warehouse platform (e.g. Postgres, Snowflake, Redshift, BigQuery)
  • Strong SQL and ETL/ELT development skills
  • Deep understanding of data modeling
  • Experience with cloud data ecosystems (AWS)
  • Hands-on experience with orchestration tools and version control (Git)
  • Experience in data governance, security, and compliance best practices
  • Experience building/generating analytical reports using Power BI
Job Responsibility
Job Responsibility
  • Architect, design, and implement robust end-to-end data warehouse (DW) solutions using modern technologies (e.g. Postgres or on-prem solutions)
  • Define data modeling standards (dimensional and normalized) and build ETL/ELT pipelines for efficient data flow and transformation
  • Integrate data from multiple sources (ERP, CRM. APIs, flat files, real-time streams)
  • Develop and maintain scalable and reliable data ingestion, transformation, and storage pipelines
  • Ensure data quality, consistency, and lineage across all data systems
  • Analyst and tune SQL queries, schemas, indexes, and ETL process to maximize database and warehouse performance
  • Monitor data systems and optimize storage costs and query response times
  • Implement high availability, backup, disaster recovery, and data security strategies
  • Collaborate with DevOps and Infrastructure teams to ensure optimal deployment, scaling, and performance of DW environments
  • Work closely with Data Scientists, Analysts, and Business Teams to translate business needs into technical data solutions
What we offer
What we offer
  • INR 5,00,000/- of life insurance coverage for all full-time employees and their immediate family
  • INR 15,00,000/- of group accident insurance
  • Education reimbursement
  • 10 national and state holidays, plus 1 floating holiday
  • Flexible working hours and a hybrid policy
  • Fulltime
Read More
Arrow Right