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Weekend Data Migration Jobs in California (NOW HIRING)

K&K Global Talent Solutions

Data Architect

Fountain Valley, CA · On-site

$69.25 - $89/hr

Drive ETL modernization and cloud migration from legacy/on-prem platforms to cloud architectures. * Establish performance, security, monitoring, CI/CD and data governance standards. * Lead technical ...

Cacheflow

P2P Data & Automation Analyst

San Francisco, CA · On-site

$158 - $256/hr

... migration, the BrickBuy enterprise procurement portal, a managed services onboarding, and policy ... Data & measurement. Build and maintain the P2P datasets, dashboards, and metrics that the ...

NAVA Software Solutions

Data Architect

Sacramento, CA · On-site

$59 - $76/hr

Lead database modernization initiatives, including migration from relational or legacy platforms to NoSQL architectures. * Define and enforce data security, encryption, access control, and compliance ...

Facer

Lead Data Analyst

Los Angeles, CA · On-site

$120 - $180/hr

Evaluate our current stack (Appfigures, Google Analytics, Firebase, BigQuery, Looker Studio) and lead migration or adoption of new tools if needed. * Act as the company's go-to data expert ...

Cooley LLP

BIC Data Operations Specialist

Palo Alto, CA · On-site

$82K - $120K/yr

... initiatives (e.g., AI enablement, cloud migration, integrations).Specificduties and ... Ability to work extended and/or weekend hours, asrequired * Ability to travel, asrequired * 3+years ...

Cooley

BIC Data Operations Specialist

San Francisco, CA · On-site

$82K - $120K/yr

... initiatives (e.g., AI enablement, cloud migration, integrations).Specificduties and ... Ability to work extended and/or weekend hours, asrequired * Ability to travel, asrequired * 3+years ...

Cooley

BIC Data Operations Specialist

San Diego, CA · On-site

$82K - $120K/yr

... initiatives (e.g., AI enablement, cloud migration, integrations).Specificduties and ... Ability to work extended and/or weekend hours, asrequired * Ability to travel, asrequired * 3+years ...

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All JobsData Migration JobsWeekend Data Migration JobsWeekend Data Migration Jobs in California

Weekend Data Migration information

What is a weekend data migration?

A Weekend Data Migration job involves transferring data from one system or platform to another during weekends to minimize disruption to regular business operations. Professionals in this role are responsible for planning, executing, and verifying data migrations, ensuring data integrity and security throughout the process. These jobs often require expertise in database management, data mapping, and troubleshooting. Weekend shifts are common because system downtime is less likely to impact business activities during these periods.

What are the key skills and qualifications needed to thrive as a weekend data migration specialist?

To thrive as a Weekend Data Migration Specialist, you need expertise in database management, data mapping, and experience with data migration processes, often supported by a degree in computer science or related field. Familiarity with ETL tools, SQL, and systems like Oracle, SAP, or Microsoft Azure is typically required, and relevant certifications such as Microsoft Certified: Azure Data Engineer can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for coordinating with teams and troubleshooting issues under tight timelines. These skills ensure data integrity, minimize downtime, and enable smooth system transitions during critical weekend migration windows.

What are some common challenges faced during weekend data migration projects, and how can I prepare for them?

Weekend data migration roles often involve tight timelines and the need to minimize downtime for critical business systems. Common challenges include unexpected data compatibility issues, managing large volumes of data within limited windows, and coordinating across IT teams to ensure a smooth transition. To prepare, it's important to thoroughly review migration plans, communicate clearly with stakeholders, and have contingency strategies for potential setbacks. Familiarity with data migration tools and strong troubleshooting skills can help you address issues quickly and keep the project on track.

What is the difference between Weekend Data Migration vs Weekend Data Analyst?

AspectWeekend Data MigrationWeekend Data Analyst
Required CredentialsData management certifications, SQL, ETL toolsData analysis certifications, Excel, SQL
Work EnvironmentIT teams, data centers, migration projectsBusiness units, reporting environments, analytics projects
Industry UsageIT, data management, software companiesMarketing, finance, retail, business intelligence

Weekend Data Migration focuses on transferring and updating data systems, requiring technical skills in data management and ETL tools. Weekend Data Analyst interprets data to provide insights, emphasizing analytical skills and reporting. Both roles may work during weekends but serve different functions within data projects.

What are the most commonly searched types of Data Migration jobs in California?

The most popular types of Data Migration jobs in California are:

What are popular job titles related to Weekend Data Migration jobs in California?

For Weekend Data Migration jobs in California, the most frequently searched job titles are:

What job categories do people searching Weekend Data Migration jobs in California look for?

The top searched job categories for Weekend Data Migration jobs in California are:

What cities in California are hiring for Weekend Data Migration jobs?

Cities in California with the most Weekend Data Migration job openings:

Weekend Data Migration jobs near you

Data Architect

K&K Global Talent Solutions

Fountain Valley, CA • On-site

$69.25 - $89/hr

Other

Posted 12 days ago

Job description

Title: Data Architect 

Location: Fountain Valley, CA (100% Onsite )

Duration: 12 Months Contract

Job Description: Data Engineering Architect with 12+ years of experience in enterprise data engineering, ETL, data warehousing, cloud modernization and AI/ML solutions.

Technical Skills

  • Strong expertise in Informatica PowerCenter, IDMC/IICS, PL/SQL, SQL, Python and Unix/Linux, with hands-on experience designing scalable ETL/ELT pipelines across heterogeneous sources including Oracle, SQL Server, PostgreSQL, DB2, MongoDB, APIs, JSON/XML and flat files.
  • Experienced in AWS data and analytics services including S3, Glue, RDS, Redshift and Lambda, along with Databricks, Snowflake and Apache Airflow for cloud-based data engineering, orchestration and analytics architectures.
  • Expertise in ETL architecture, complex transformations, full/incremental/CDC loads, SCD, data modelling, performance tuning, reconciliation and data quality.

Good Understanding of following:

  • AI/ML capabilities covering Python, ML pipelines, MLOps, Generative AI, LLMs, RAG, embeddings, vector databases, LangChain/LangGraph and AI agents.
  • Experience applying AI to data quality automation, anomaly detection, ETL/code generation, intelligent monitoring, RCA, data governance and enterprise data operations.
  • Understanding of SDLC, architecture/design governance, CI/CD, Git, Agile delivery and technical leadership, with the ability to define enterprise data and AI architectures, lead solution design and mentor engineering teams.

 Roles & Responsibilities:

  • Define end-to-end data architecture for ETL, data warehouse, lakehouse and cloud platforms.
  • Design source-to-target mapping, complex transformations, full/incremental/CDC loads, SCD, data modelling, performance tuning, reconciliation and data quality.
  • Lead Informatica PowerCenter/IDMC architecture, mapping design, workflows and ETL framework standards.
  • Design scalable data pipelines using AWS S3, Glue, RDS, Redshift, Lambda, Databricks, Snowflake and Airflow.
  • Develop and optimize PL/SQL, SQL and Python solutions for complex data processing and validation.
  • Define data modelling, CDC, SCD, incremental loads, reconciliation and data quality frameworks.
  • Architect AI/ML and GenAI solutions, including LLM, RAG, embeddings, vector databases and AI agents.
  • Drive ETL modernization and cloud migration from legacy/on-prem platforms to cloud architectures.
  • Establish performance, security, monitoring, CI/CD and data governance standards.
  • Lead technical design reviews, provide architecture guidance, resolve complex technical issues and mentor engineering teams.
  • Collaborate with business, data, cloud and AI teams to translate requirements into scalable, secure and cost-effective solutions.

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