Lead database design, data modeling, schema evolution, migrations, and ETL/ELT pipelines across MySQL, PostgreSQL, and Google Cloud databases. Build streaming and batch ingestion, enable CI/CD for data deployments, troubleshoot pipelines, produce runbooks, and mentor/lead offshore DB/ETL engineers while collaborating with onshore architects.
Position
Data Architect
Experience
10+ years
Location
Offshore (working closely with onshore architects)
Role Overview
We are looking for a Database Lead with strong GCP, database, and ETL experience to support a cloud-native data platform. The role involves database design, data modeling, schema evolution, data migrations, ETL pipelines, and data streaming across MySQL, PostgreSQL, and Google Cloud databases (Spanner, Cloud SQL, AlloyDB).
Snowflake, DOMO - Analytics and Reporting is a must
The candidate will act as a technical lead, collaborating with onshore architects and leading offshore DB/ETL resources as additional team members are onboarded.
Key Responsibilities
- Lead data modeling, schema design, and database architecture across MySQL, PostgreSQL, Spanner, Cloud SQL, and AlloyDB.
- Own data migrations (one-time migrations, incremental/delta loads, and ongoing data synchronization).
- Design and manage config-driven ETL / ELT pipelines, with table-level configuration files and minimal transformations.
- Support on-demand onboarding of new tables and manage schema changes / evolution.
- Design and support data streams for batch and near-real-time ingestion.
- Work across teams on event-driven architectures, ensuring reliable data publishing and downstream consumption.
- Enable CI/CD deployments for database changes, ETL jobs, dataflows, and configurations.
- Monitor and troubleshoot ETL pipelines, data syncs, and streaming jobs; support reprocessing and recovery.
- Prepare and maintain playbooks, runbooks, and operational documentation.
- Lead and mentor offshore DB/ETL engineers, review designs, guide implementation, and ensure delivery quality.
Mandatory Skills & Experience
- 5–8 years of experience in database and data engineering roles.
- Proven expertise in data modeling, schema design, and data migrations.
- Strong hands-on experience with MySQL and PostgreSQL.
- Experience with Google Cloud databases: Spanner, Cloud SQL, AlloyDB.
- Experience with ETL / ELT pipelines, data integration, and data streaming.
- Strong understanding of schema evolution, delta processing, and data synchronization.
- Advanced SQL skills.
- Experience working on GCP, including services like Pub/Sub, Dataflow, BigQuery, and Cloud Storage.
- Experience with CI/CD pipelines for data and database deployments.
- Ability to technically lead offshore teams and work with onshore stakeholders.
Nice to Have
- Exposure to other databases / technologies such as AS/400, MongoDB, Cassandra, and GraphQL.
- Experience in enterprise data modernization or legacy-to-cloud programs.
- Professional Cloud Certifications (Google / Microsoft / AWS), including:
- Google Professional Data Engineer
- Google Cloud Architect
- Google Cloud Engineer
Compensation, Benefits and Duration
Minimum Compensation: USD 52,000
Maximum Compensation: USD 182,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon New York, New York, USA Office
New York, United States
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Build and scale continuous monitoring and anomaly detection for Personal Lines Auto pricing programs. Analyze large datasets to detect issues, improve data quality, automate reporting, create dashboards and frameworks, and communicate findings to technical and business stakeholders. Partner cross-functionally to investigate root causes and support program-level monitoring for launched pricing programs.
Top Skills:
ExcelGitPower BIPowerPointPythonSnowflakeSQL
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Provide high-level administrative support to sales executives including calendar, travel, expense reporting, and confidential communication. Prepare reports and sales materials using PowerPoint, Excel, and CRM. Plan and execute internal and external sales events and offsites. Liaise with clients and internal teams, multitask under pressure, and travel a few times a year.
Top Skills:
CoupaCRMExcelGoogle SuiteNavanPowerPointSlack
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead a team supporting Enterprise and Strategic accounts across the quote-to-cash lifecycle. Build dashboards and analytics to track operational metrics and SLAs, partner cross-functionally to design scalable workflows, and drive process improvements and projects to completion.
Top Skills:
AIExcelSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
