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Data Modernization Jobs in Dallas, TX (NOW HIRING)

Tata Consultancy Service Limited

Data Architect

Dallas, TX · On-site

$120K - $140K/yr

... data modernization initiatives, define target-state architecture, and establish scalable data platforms supporting analytics, AI, governance, and business intelligence. The ideal candidate will ...

BravoTech

Data Management Manager

Dallas, TX · On-site

Lead enterprise data modernization programs, including migration from legacy platforms to cloud-based Data Lake and Lakehouse solutions. Implement best practices for data ingestion, transformation ...

Tror AI for everyone

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Google Cloud Data Architect - IAM Data Modernization Job Location: Dallas, TX (4 days onsite) Job Type: Contract Note: Need 13- 15Years of experience resumes. Required Qualifications * 5+ years ...

Anblicks

Principal Data Architect

Dallas, TX · On-site

Principal Data Architect - Data Modernization | Onsite, US | 15+ years We are seeking a Principal Data Architect to serve as the design authority across a portfolio of large-scale data platform ...

New

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Roles & Responsibilities We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Genius Road, LLC

Manager, Data Management

Dallas, TX · On-site

Experience delivering enterprise data modernization, migration, and cloud transformation initiatives * Strong understanding of data quality, metadata management, data lineage, retention policies, and ...

Genius Road

Manager, Data Management #3291

Dallas, TX · Hybrid

Experience delivering enterprise data modernization, migration, and cloud transformation initiatives * Strong understanding of data quality, metadata management, data lineage, retention policies, and ...

Allworth Financial

Sr. Data Engineer

Dallas, TX

$113K - $136K/yr

This role will support the modernization of legacy SQL-based processes into scalable, maintainable cloud data pipelines, while also helping us identify architectural gaps, improve engineering ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role will support the modernization of legacy SQL-based processes into scalable, maintainable cloud data pipelines, while also helping us identify architectural gaps, improve engineering ...

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All JobsData Modernization JobsData Modernization Jobs in Dallas, TX

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

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 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.

What are popular job titles related to Data Modernization jobs in Dallas, TX?

For Data Modernization jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Dallas, TX look for?

The top searched job categories for Data Modernization jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Modernization jobs?

Cities near Dallas, TX with the most Data Modernization job openings:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Google Cloud Data Architect & IAM Data Modernization

Vytwo

Prosper, TX • On-site

$58.50 - $75/hr

Full-time

Re-posted 26 days ago

Job description

Role: Google Cloud Data Architect – IAM Data Modernization
Location: Dallas, TX / Charlotte, NC/ Iselin, NJ, / Chandler, AZ / Ohio, Delaware (Hybrid) 
*Must be a US Citizen/ GC only
About Position:
 Identity & Access Management (IAM) Data Modernization – migration of an on‑premises SQL data warehouse to a target‑state Data Lake on Google Cloud (GCP), enabling metrics & reporting, advanced analytics, and GenAI use cases (natural language querying, accelerated summarization, cross‑domain trend analysis) leveraging PySpark‑based processing, cloud‑native DevOps CI/CD pipelines, and containerized deployments on OpenShift (OCP) to deliver scalable, secure, and high‑performance data solutions.
What You'll Do:
DevOps / CI‑CD
  • Experience implementing CI/CD pipelines for data and analytics workloads
  • Familiarity with Git‑based source control, build automation, and deployment strategies
Containers & Platform
  • 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
Big Data & Processing
  • Hands‑on experience with PySpark for ETL/ELT, data transformation, and performance optimization
  • Solid understanding of distributed data processing concepts
Data & Cloud Architecture
  • Strong experience designing data platforms on Google Cloud Platform (GCP)
  • Experience with Data Lakes, data warehousing, and large‑scale migration programs
Data Lake Architecture & Storage
  • 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
 Data Ingestion & Orchestration
· 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
· Hands-on experience with workflow orchestration tools (Cloud Composer / Airflow)
· Ability to design robust error handling, replay, and backfill mechanisms
 
Data Processing & Transformation
· Experience developing scalable batch and streaming pipelines using Dataflow (Apache Beam) and/or Spark (Dataproc)
· 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
 
Analytics & Data Serving
· Expertise in BigQuery performance optimization and data serving patterns
· Experience building semantic layers and governed metrics for consistent analytics
· Familiarity with BI integration, access controls, and dashboard standards
· Understanding of data exposure patterns via views, APIs, or curated datasets
 
Data Governance, Quality & Metadata
· Experience implementing data catalogs, metadata management, and ownership models
· Understanding of data lineage for auditability and troubleshooting
· Strong focus on data quality frameworks, including validation, freshness checks, and alerting
· Experience defining and enforcing data contracts, schemas, and SLAs
 
 Good to have
Security, Privacy & Compliance
· Hands-on experience implementing fine-grained access controls for BigQuery and GCS
· Experience with Sprint planning and helping team technically.
· Strong stakeholder communication and solution‑architecture skills
Expertise You'll Bring:
  • Experience: [10–14]+ years in DevOps and Data Architecture, 5+ years designing on Pyspark/GCP/OCP at scale; prior on‑prem → cloud migration a must.
  • Education: Bachelor’s/Master’s in Computer Science, Information Systems, or equivalent experience.
  • Certifications:Google Cloud Professional Cloud Architect/DevOps/OCP (required or within 3 months). Plus: Professional Data Engineer, Security Engineer

Flexible work from home options available.