lead data architect

CRUTZ LEELA ENTERPRISES

<p>Big Data Architect- Lead</p><p>Experience: 10-12 years</p><p>Key Responsibilities:</p><ul><li>Data Architecture Design: Designing and implementing scalable and resilient data</li></ul><p>architectures for both batch and streaming data processing.</p><ul><li>Data Modeling: Developing data models and database structures to ensure efficient</li></ul><p>data storage and retrieval.</p><ul><li>Data Security and Governance: Ensuring data security, integrity, and compliance</li></ul><p>with relevant regulations.</p><ul><li>Data Integration: Integrating data from various sources, including legacy systems,</li></ul><p>into the big data infrastructure.</p><ul><li>Performance Optimization: Monitoring and optimizing the performance of the big</li></ul><p>data infrastructure.</p><ul><li>Collaboration: Working with data scientists, engineers, and business stakeholders</li></ul><p>to understand requirements and translate them into technical solutions.</p><ul><li>Technology Selection: Evaluating and recommending new technologies and tools</li></ul><p>for data management and processing.</p><ul><li>Mentorship: Provide guidance and mentorship to junior team members.</li><li>Problem Solving: Identifying and resolving complex data challenges.</li><li>Participate in the pre and post sales process, helping both the sales, professional.</li></ul><p>Skills and Qualifications:</p><ul><li>Bachelor&rsquo;s / Master&rsquo;s degree in computer science, computer engineering, or</li></ul><p>relevant field.</p><ul><li>Overall 10+ years of experience, at least 2 years of experience in Big Data</li></ul><p>Architect.</p><ul><li>Strong understanding of big data technologies: Hadoop, Spark, NoSQL databases,</li></ul><p>cloud-based data services (AWS, Azure, GCP).</p><ul><li>Experience with open-source ecosystem programming languages (i.e., Python,</li></ul><p>Java, Scala, Spark etc.)</p><ul><li>Proficiency in data modeling and database design: SQL, NoSQL.</li><li>Experience with ETL processes: Extracting, transforming, and loading data.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and collaboration skills.</li><li>Experience with data security and governance principles.</li><li>Knowledge of API design and development.</li><li>Understanding of data visualization techniques.</li><li>Strong understanding of authentication (i.e. LDAP , Active Directory, SAML,</li></ul><p>Kerberos etc.) &amp;amp; authorization configuration for Hadoop based distributed systems.</p><ul><li>Familiarity of DevOps methodology &amp;amp; toolsets and automation experience.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹500,000.00 - ₹1,800,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

Big Data Architect(Lead)

Logicrest Technologies Pvt. Ltd.

<p><b>About the Role</b></p><p>Join Logicrest Technologies as our Lead AI &amp; Data Scientist and take ownership of cutting-edge AI/ML initiatives that power real-world industrial automation systems. You'll architect and deploy production-grade machine learning models that directly impact critical infrastructure operations.</p><p>Key Responsibilities</p><p>- Design, develop, and deploy predictive models for industrial applications</p><p>- Build and maintain robust data pipelines for real-time sensor data ingestion, validation, and processing</p><p>- Implement safety-critical logic with bulletproof failsafes, redundancy checks, and emergency protocols</p><p>- Collaborate directly with the CTO on model architecture and strategic AI decisions</p><p>- Mentor Backend Engineers and AI Support Interns on ML best practices</p><p>- Handle industrial sensor data challenges including noise, sensor drift, and connectivity drops</p><p>- Work closely with IoT Engineers on data integration from PLCs and SCADA systems</p><p>- Present technical findings and model performance metrics to stakeholders and investors</p><p><b>Required Qualifications</b></p><p><b>Experience:</b></p><p>- 4-6 years of hands-on experience in AI/ML with proven industrial or IoT project background</p><p>- Strong expertise in Time-Series Forecasting, Anomaly Detection, or Predictive Maintenance</p><p>- Track record of shipping production AI systems (not just academic projects)</p><p><b>Technical Skills:</b></p><p>- Advanced proficiency in Python, scikit-learn, TensorFlow/PyTorch, Pandas, NumPy etc.</p><p>- Hands-on experience with real-time data processing frameworks (Apache Kafka, Stream Processing)</p><p>- Understanding of model deployment, containerization (Docker), and cloud ML pipelines</p><p>- Experience with industrial PLCs, SCADA systems, or control engineering (highly valued)</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Lead AI & Data scientist

Target

<div></div><div><div><div><div><div><p><b>About us:</b><br>
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.</p><p></p><p><b>
About the Role:</b><br>
As a <b>Lead Data Engineer</b>, you will serve as the <b>technical anchor</b> for the engineering team, responsible for designing and developing <b>scalable, high-performance data solutions</b>. You will <b>own and drive data architecture</b> that supports both functional and non-functional business needs, ensuring <b>reliability, efficiency, and scalability</b>.<br>
Your expertise in <b>big data technologies, distributed systems, and cloud platforms</b> will help shape the engineering roadmap and best practices for <b>data processing, analytics, and real-time data serving</b>. You will play a key role in <b>architecting and optimizing data pipelines</b> using <b>Hadoop, Spark, Scala/Java, and cloud technologies</b> to support enterprise-wide data initiatives.<br>
Additionally, <b>experience with API development for serving low-latency data</b> and <b>Customer Data Platforms (CDP)</b> will be a strong plus.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Architect and build <b>scalable, high-performance data pipelines</b> and <b>distributed data processing solutions</b> using <b>Hadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure)</b>.</p></li><li><p>
Design and implement <b>real-time and batch data processing solutions</b>, ensuring data is efficiently processed and made available for analytical and operational use.</p></li><li><p><b>
Develop APIs and data services</b> to expose <b>low-latency, high-throughput</b> data for downstream applications, enabling real-time decision-making.</p></li><li><p>
Optimize and enhance <b>data models, workflows, and processing frameworks</b> to improve performance, scalability, and cost-efficiency.</p></li><li><p>
Drive <b>data governance, security, and compliance</b> best practices.</p></li><li><p>
Collaborate with <b>data scientists, product teams, and business stakeholders</b> to understand requirements and deliver <b>data-driven solutions</b>.</p></li><li><p>
Lead the <b>design, implementation, and lifecycle management</b> of data services and solutions.</p></li><li><p>
Stay up to date with <b>emerging technologies</b> and drive adoption of best practices in <b>big data engineering, cloud computing, and API development</b>.</p></li><li><p>
Provide <b>technical leadership and mentorship</b> to engineering teams, promoting best practices in <b>data engineering and API design</b>.</p></li></ul><p></p><p><b>
About You:</b></p><ul><li><p><b>
7+ years of experience in data engineering, software development, or distributed systems.</b></p></li><li><p><b>
Expertise in big data technologies</b> such as <b>Hadoop, Spark, and distributed processing frameworks.</b></p></li><li><p><b>
Strong programming skills in Scala and/or Java</b> (Python is a plus).</p></li><li><p><b>
Experience with cloud platforms (AWS, GCP, or Azure)</b> and their <b>data ecosystem</b> (e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.).</p></li><li><p><b>
Proficiency in API development</b> using <b>REST, GraphQL, or gRPC</b> to serve real-time and batch data.</p></li><li><p><b>
Experience with real-time and streaming data architectures</b> (Kafka, Flink, Kinesis, etc.).</p></li><li><p>
Strong knowledge of <b>data modeling, ETL pipeline design, and performance optimization</b>.</p></li><li><p>
Understanding of <b>data governance, security, and compliance</b> in large-scale data environments.</p></li><li><p><b>
Experience with Customer Data Platforms (CDP) or customer-centric data processing</b> is a strong plus.</p></li><li><p>
Strong problem-solving skills and ability to work in <b>complex, unstructured environments</b>.</p></li><li><p>
Excellent communication and collaboration skills, with experience working in <b>cross-functional teams</b>.</p></li></ul><p></p><p><b>
Why Join Us?</b></p><ul><li><p>
Work with cutting-edge <b>big data, API, and cloud technologies</b> in a fast-paced, collaborative environment.</p></li><li><p>
Influence and shape the <b>future of data architecture and real-time data services</b> at Target.</p></li><li><p>
Solve <b>high-impact business problems</b> using <b>scalable, low-latency data solutions</b>.</p></li><li><p>
Be part of a culture that values <b>innovation, learning, and growth</b>.</p></li></ul></div></div></div></div></div><p></p>

Lead Data Engineer

Indegene

<p></p><div><div><div><div><div><b>Date: </b>30 Dec 2025
</div></div></div></div><div><div><div><div><b>Location:
</b>KA, IN
</div></div></div></div><div><div><div><div><div><div><div><div>Job Description</div>
</div><div><div>
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.</div><br>
<div></div>
<div>
Role: Lead Databricks Engineer</div><div><br>
Description: We are seeking a highly skilled Senior Databricks Lead with 5+ years of experience in data engineering and architecture. This role is ideal for an expert who brings deep hands-on experience with Databricks, Apache Spark, and cloud platforms (AWS, Azure, or GCP), along with a strong foundation in designing and implementing scalable, secure, and high-performing data solutions. You will be responsible for driving the design and implementation of modern data architectures including data lakes, data warehouses, and streaming systems, while working closely with cross-functional teams to ensure alignment with business goals. This is a strategic technical role with a strong focus on execution and continuous improvement.</div></div></div><div><div><div>
Must Have</div>
</div><div><div>
Responsibilities<br>
<ul><li>Data Architecture &amp; Design -Design robust, scalable, and high-performing data architecture using Databricks and Apache Spark.</li><li>Define and implement data lake, data warehouse, and real-time streaming solutions. Develop architecture blueprints and documentation to support technical and business stakeholders.</li><li>Configure, monitor, and optimize Databricks clusters for performance and cost-efficiency. Apply best practices in cluster sizing, autoscaling, and performance tuning.</li><li>Lead, design and develop complex ETL/ELT pipelines for batch and real-time data ingestion using Databricks. Implement modular and reusable components for scalable data processing workflows.</li><li>Integrate Databricks with cloud-native storage solutions (e.g., AWS S3, Azure Data Lake, GCS) and other data services. Support hybrid and multi-cloud deployments were required.</li><li>Ensure compliance with security standards, IAM policies, encryption, and regulatory requirements.</li><li>Mentor junior engineers and guide them on best practices in Databricks and big data engineering.</li><li>Evaluate and recommend new tools, frameworks, and best practices in the Databricks ecosystem.</li><li>Stay up to date with the latest in Delta Lake, Databricks SQL, MLflow, and open-source Spark enhancements.</li></ul></div><div><br>
<br>
About You (Desired Profile)<br>
<ul><li>5+ years of experience in data engineering, big data, or cloud data architecture roles. Strong expertise in Databricks, Apache Spark, and Delta Lake.</li><li>Proven experience designing and delivering large-scale data lakes, warehouses, and streaming platforms.</li><li>In-depth experience with cloud platforms (AWS, Azure, or GCP), including native services and integration patterns.</li><li>Strong coding skills in Python, Scala, or SQL.</li><li>Solid understanding of data governance, security, IAM, and regulatory compliance in cloud environments.</li><li>Experience with tools like Airflow, dbt, or CI/CD pipelines for data.</li><li>Excellent problem-solving, documentation, and communication skills.</li><li>Bachelor&rsquo;s degree in computer science, Data Engineering, or related field (Master&rsquo;s preferred).</li><li>Experience working in the pharmaceutical domain is a plus.</li><li>Certifications in Databricks, AWS, or Azure (or actively working toward them).</li><li>Exposure to Unity Catalog, Delta Lake, or Databricks SQL.</li><li>Knowledge of data governance, IAM, or cloud security practices.</li></ul></div><div><br>
<br>
Preferred Qualifications<br>
<ul><li>Certifications in Databricks (e.g., Databricks Certified Data Engineer or Architect).</li><li>Certifications in AWS, Azure, or GCP.</li><li>Experience working in regulated industries (e.g., pharmaceuticals, finance).</li><li>Exposure to ML Ops tools and machine learning pipelines within Databricks.</li></ul></div></div></div><div><div><div>
Good to have</div>
</div></div><div></div><div><div><div>EQUAL OPPORTUNITY</div>
</div><div>Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.</div></div></div></div></div></div></div></div><p></p>

RedCloud Consulting

<div>RedCloud Consulting is a business and IT consulting company with local Puget Sound Enterprise and Mid-sized clients. RedCloud seeks a <b>Data Governance Lead</b> to support immediate client operations. Seattle Business Magazine has recognized us, ranked #1 on their &quot;Best Companies to Work for in Washington&quot; for Mid-Sized Businesses list, awarded #1 Fastest Growing Company in Washington by Puget Sound Business Journal, and named on the Inc. 500/5000 list.<br>
<br>
<b>Overview:</b><br>
We are seeking a Data Governance Team Lead to drive the development, implementation, and enforcement of enterprise data standards, policies, and processes. This role sits at the intersection of data governance, engineering, analytics, and compliance, and is responsible for ensuring that data assets are well-governed, discoverable, compliant, and fit for use across the organization.<br>
The ideal candidate brings deep expertise in data governance frameworks, a strong working knowledge of modern data platforms, and the ability to translate complex and often ambiguous governance requirements into practical, scalable solutions. This role will lead a cross-functional team and partner closely with engineering, analytics, product, and external stakeholders.<br>
<br>
<b>Responsibilities include but are not limited to:</b>
<ul><li>Develop, maintain, and evolve enterprise-wide data standards, policies, and governance processes across data lakes, warehouses, and analytical platforms.
</li><li>Partner with data engineering and software engineering teams to implement governance controls through automation, tooling, and code review processes.
</li><li>Oversee the logical maintenance and organization of data lakes and data warehouses, including naming conventions, data models, and lifecycle management.
</li><li>Manage and enhance metadata management practices, including data catalogs, lineage, and documentation to improve data discoverability and trust.
</li><li>Monitor, measure, and enforce data governance policies, proactively identifying gaps, risks, and opportunities for improvement.
</li><li>Stay current on internal standards and external data regulations (e.g., privacy, security, compliance) and translate requirements into actionable governance policies.
</li><li>Collaborate with internal and external teams to communicate governance expectations and align on implementation strategies.
</li><li>Lead and support the transition of legacy data assets to modern governance standards and platforms.
</li><li>Provide leadership and mentorship to a team of technical and non-technical contributors, balancing governance rigor with evolving business needs.
</li></ul>
<br>
<b>Required Knowledge, Skills, and Abilities:</b>
<ul><li>Experience designing and implementing data governance standards, policies, and processes in a complex data environment.
</li><li>Solid foundational understanding of data engineering, data analytics, software engineering, and AI/ML concepts, tools, and workflows.
</li><li>Experience working with modern data platforms, including data lakes, data warehouses, and metadata/catalog tools.
</li><li>Ability to lead and influence cross-functional teams, including both technical and non-technical stakeholders.
</li><li>Strong communication skills with the ability to clearly articulate ambiguous or nuanced governance topics to audiences ranging from engineers to executives.
</li><li>Experience translating regulatory or compliance requirements into practical, scalable data governance solutions.
</li><li>Comfortable operating in environments with evolving or flexible business requirements, balancing structure with pragmatism.
</li><li>Strong organizational, analytical, and problem-solving skills.
</li></ul>
<br>
Compensation range for position is $ 130,500 &ndash; 145,000 DOE.
<br>
Benefits and bonus information can be found at <b>https://www.redcloudconsulting.com/careers</b>
<br>
RedCloud requires employees have the legal ability to work in the United States during their employment period. During onboarding, proof of eligibility to work in the United States will be requested. RedCloud does not provide visa sponsorship.<br>
<br>
<b>About Us:</b><br>
RedCloud is a boutique, business and technology consulting firm providing local companies with expert-level support for over two decades. Whether it&rsquo;s to solve a specific business challenge or to provide additional support for an ambitious project, we can help bring even the most visionary endeavors to fruition.<br>
<br>
Anchored by a foundation of &quot;integrity-based consulting&quot;, the RedCloud team of subject matter experts collaborate closely with clients to develop and implement high-level solutions, bringing stability, growth, and innovation together for long-term success. We provide a broad array of business and technology consulting services through RedCloud&rsquo;s core practices: Data &amp; AI, Delivery Excellence, Digital Solutions, Marketing &amp; Sales, Privacy, Security, and Strategy &amp; Transformation.<br>
<br>
<br>
<br>
Visit <b>http://www.redcloudconsulting.com/</b> for more info.
<br>
#LI-Remote</div>

Data Governance Lead

Vertigo

<div><p>We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150+ million fans worldwide!</p><p></p><p>
Check out our smash-hit games:</p><ul><li><b>Critical Strike</b></li><li><b>Polygun Arena</b></li></ul><p></p><p>
Now, we're looking for a passionate <b>Lead Data Scientist </b>to join our dynamic team in <b>Istanbul</b>. This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working <b>5 days a week from our office in Levent.</b><br>
<br>
In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to <b>get familiar with both of our games before you apply and complete your application only if you're genuinely excited</b> to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.</p><p><b>
Requirements</b></p><ul>
<li>
Highly proficient in SQL and Python.</li>
<li>Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company.</li>
<li>Experienced in managing data within cloud warehousing environments such as BigQuery etc.</li>
<li>Excellent communication and collaboration skills to work effectively with cross-functional teams.</li>
<li>Passion and interest for mobile gaming industry trends and user behavior is a plus.</li>
</ul><p></p><p><b>
Responsibilities</b></p><br>
<ul>
<li>
Interpret large datasets to provide actionable insights that shape product roadmaps and strategy</li>
<li>Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture.</li>
<li>Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities</li>
<li>Develop visualization suites (dashboards, reports)</li>
</ul><p><b>
Benefits</b></p><ul><li>
A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver.</li></ul><ul>
<li>Meal Allowance: Enough for a solid, satisfying meal.</li>
<li>Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever.</li>
<li>Private Health Insurance: Complementary private health insurance so you can get care without second thoughts.</li>
<li>Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job.</li>
<li>Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us.</li>
<li>Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us.</li>
<li>Referral Bonus: Introduce great talent to the team and earn a reward when they join.</li>
<li>Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution.</li>
</ul><ul><li>A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We&rsquo;re here to build great games together.</li>
<li>A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the &quot;zone&quot;.</li>
</ul><ul><li>Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind.</li>
<li>Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.</li></ul></div><p></p>

Lead Data Scientist

Vertigo Games

<div>
 We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150+ million fans worldwide!
 <br/>
 <br/>
 Check out our smash-hit games:
 <br/>
 <br/>
 <ul>
  <li>
   Critical Strike
  </li>
  <li>
   Polygun Arena
   <br/>
   <br/>
  </li>
 </ul>
 Now, we're looking for a passionate
 <strong>
  Lead Data Scientist
 </strong>
 to join our dynamic team in
 <strong>
  Istanbul
 </strong>
 . This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working
 <strong>
  5 days a week from our office in Levent.
  <br/>
  <br/>
 </strong>
 In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to
 <strong>
  get familiar with both of our games before you apply and complete your application only if you're genuinely excited
 </strong>
 to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Highly proficient in SQL and Python
  </li>
  <li>
   Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company
  </li>
  <li>
   Experienced in managing data within cloud warehousing environments such as BigQuery etc
  </li>
  <li>
   Excellent communication and collaboration skills to work effectively with cross-functional teams
  </li>
  <li>
   Passion and interest for mobile gaming industry trends and user behavior is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interpret large datasets to provide actionable insights that shape product roadmaps and strategy
  </li>
  <li>
   Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture
  </li>
  <li>
   Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities
  </li>
  <li>
   Develop visualization suites (dashboards, reports)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver
  </li>
  <li>
   Meal Allowance: Enough for a solid, satisfying meal
  </li>
  <li>
   Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever
  </li>
  <li>
   Private Health Insurance: Complementary private health insurance so you can get care without second thoughts
  </li>
  <li>
   Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job
  </li>
  <li>
   Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us
  </li>
  <li>
   Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us
  </li>
  <li>
   Referral Bonus: Introduce great talent to the team and earn a reward when they join
  </li>
  <li>
   Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution
  </li>
  <li>
   A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We're here to build great games together
  </li>
  <li>
   A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the "zone"
  </li>
  <li>
   Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind
  </li>
  <li>
   Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year
  </li>
 </ul>
</div>


Search 10000+ Lead data architect jobs near you this January. New roles added regularly across leading industries. Apply today.

10000 lead data architect jobs NEAR_ME

Big Data Architect(Lead)

Lead AI & Data scientist

Lead Data Engineer

Lead Data Engineer

Data Governance Lead

Lead Data Scientist

Lead Data Scientist