Senior Data Architect Jobs

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 Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

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

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

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

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Poland , Wroclaw

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Belgrade, Novi Sad

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions