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Data Modernization Jobs (NOW HIRING)

Tiger Analytics Inc.

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic ...

Tiger Analytics Inc.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic ...

Tiger Analytics Inc.

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic ...

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Data Modernization information

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is data modernization?

Data modernization is the process of updating and transforming an organization’s data infrastructure, tools, and practices to leverage modern technologies such as cloud computing, big data analytics, and artificial intelligence. This typically involves migrating data from legacy systems to more agile, scalable, and efficient platforms, improving data quality, accessibility, and security. The goal of data modernization is to enable better decision-making, enhance operational efficiency, and support digital transformation initiatives.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

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Data Modernization jobs near you
Google Cloud Data Architect IAM Data Modernization

Google Cloud Data Architect IAM Data Modernization

Lorven Technologies

Dallas, TX • On-site

$58.75 - $75.75/hr

Full-time

Posted 8 days ago

Job description

Hi,
Our client is looking for a Google Cloud Data Architect - IAM Data Modernization at Dallas, TX / Charlotte, NC/ Iselin, NJ, / Chandler, AZ (Hybrid - 4 days office). Kindly share your updated resume to proceed further.
Job Title: Google Cloud Data Architect - IAM Data Modernization
Location: Dallas, TX / Charlotte, NC/ Iselin, NJ, / Chandler, AZ (Hybrid - 4 days office)
Job Description:
  • Bachelors or relevant degree with 10-14+ years in DevOps and Data Architecture, 5+ years designing on Pyspark/GCP/OCP at scale; prior on prem → cloud migration a must.
  • Certifications: Google Cloud Professional Cloud Architect/DevOps/OCP (required or within 3 months). Plus: Professional Data Engineer, Security Engineer.
  • Experience implementing CI/CD pipelines for data and analytics workloads
  • Familiarity with Git-based source control, build automation, and deployment strategies
  • Experience with OpenShift Container Platform (OCP) for deploying data workloads and services
  • Understanding of containerized architecture, scaling, and environment management
  • Proven ability to build CI/CD pipelines for data and infrastructure workloads
  • Experience managing secrets securely using GCP Secret Manager
  • Ownership of observability, SLOs, dashboards, alerts, and runbooks
  • Proficiency in logging, monitoring, and alerting for data pipelines and platform reliability
  • Hands-on experience with PySpark for ETL/ELT, data transformation, and performance optimization
  • Solid understanding of distributed data processing concepts
  • Strong experience designing data platforms on Google Cloud Platform (GCP)
  • Experience with Data Lakes, data warehousing, and large-scale migration programs
  • Proven experience designing and implementing data lake architectures (e.g., Bronze/Silver/Gold or layered models).
  • Strong knowledge of Cloud Storage (GCS) design, including bucket layout, naming conventions, lifecycle policies, and access controls
  • Experience with Hadoop/HDFS architecture, distributed file systems, and data locality principles
  • Hands-on experience with columnar data formats (Parquet, Avro, ORC) and compression techniques
  • Expertise in partitioning strategies, backfills, and large-scale data organization
  • Ability to design data models optimized for analytics and BI consumption
  • Experience building batch and streaming ingestion pipelines using GCP-native services
  • Knowledge of Pub/Sub-based streaming architectures, event schema design, and versioning
  • Strong understanding of incremental ingestion and CDC patterns, including idempotency and deduplication
  • Strong proficiency in BigQuery SQL, including query optimization, partitioning, clustering, and cost control.
  • Hands-on experience with Hadoop MapReduce and ecosystem tools (Hive, Pig, Sqoop)
  • Advanced Python programming skills for data engineering, including testing and maintainable code design
  • Experience managing schema evolution while minimizing downstream impact

Looking forward for your reply.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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